 Hello sir. Can you hear me? Good afternoon to all honourable vice-sensors, respected directors of various schools, esteemed resource persons, major faculty members and participants. I, Dr. Srutish Rupa Parali, welcome you all to this program. It is my great pleasure to announce that our university has organised this webinar on artificial intelligence in the New Age environment on the occasion of World Space Week. World Space Week is a week-long celebration of space celebrated from the 4th of October to 10th of October of every year since 1999 to mark two great events in human history. The first event being the launch of Sputnik, the first human-made Earth satellite that was launched on the 4th of October in 1957 and the second event being the signing of the outer space treaty on 10th of October in 1967. The World Space Week is dedicated to the celebration of scientific and technological advancements that has been instrumental to the betterment of our lives. The team for this year's World Space Week is women in space. I now request our honourable vice-sensor, Prof. Nipendra Narayanan, to give the inauguration address. Please, sir. Thank you, Dr. Srutish Rupa Parali. Thank you for the distinguished speakers in today's webinar. Dr. Srutish Rupa Parali and dear esteemed participants, this is indeed a pleasure for me to be in your midst in this webinar which is organised in celebration of the Space Week. This is basically on artificial intelligence in the new age environment. When we talk about artificial intelligence itself is new. So artificial environment, artificial intelligence in the new age environment. So it might be having some kind of implications in the weather because a new environment has got certain characteristics. More or less it has been expressed in terms of an acronym. That acronym is Phukka, V-U-C-A. V for volatile, U for uncertain, C for complex, A for ambiguity. So we all are living in a Phukka environment, highly volatile environment, highly uncertain environment, highly complex environment, highly ambiguous environment. So in this type of environment, predictability has been at stake. Pre 1990s, we were more or less having a stable kind of environment. In terms of GDP also, we are having a stable growth rate. 1990 onwards with the advent of liberalisation, privatisation, globalisation. And with all the technology enabled devices and support system, the entire thing has ceased. We have seen a kind of metamorphosis. We have seen a kind of convergence. The boundaries of the industries are spanning. Earlier we were used to have the television industry as such, mobile industry as such. With the advent of the mobile technology, we have seen the blurring of the boundaries. We have seen the convergence of the industries and we have seen many industries have disappeared. So new kinds of things are emerging. So that indicates about the volatility in the environment, volatile, uncertain, ambiguous, complex. A new phenomenon has emerged that is of artificial intelligence. What sort of development have been taking place? Have been for the good only. Do there are some adverse effects? Likewise, we talk about green revolution. It has also been criticized. At the same time, the agricultural yield, the rise in productivity is always appreciated. Likewise, the IT sector or the IT enabled services, the development which has taken place has facilitated our ease of living, ease of operations in the industries. So that has more or less facilitated the development processes. Though there could be some other aspects. We can talk about the bank computerization. We can talk about the railway reservation system. Now the kind of things which are being developed through artificial intelligence and economic comprises of sectors like agriculture, industry, services, trade and AI as a kind of intervention is going to have long lasting implications on all these sectors. So that is likely to create some kind of volatility, some kind of uncertainty, some kind of ambiguity and more of complexity. But that is a ball of the day. We'll have to meet the, we'll have to guess the realities and we'll have to experience the positive outcomes of this. And whatsoever the negative outcomes will be there, we'll have to combat with all this. So I hope this webinar will address all these issues. And I look forward to the participation of our participants, to the presentation of our speakers, Dr. Rajit Devsaruri and Dr. Uthpal Vermon and hope that this webinar would be able to contribute towards the purpose for which it is being organized. With this few words, I would like to conclude and I wish my best to all of you. Thank you very much. Thank you. I would like to introduce our first resource person for the webinar today, Dr. Rajit Dev Choudhury. He is an associate professor in the discipline of computer science in Krishnakanto-Hendrikoj State Open University. He had done his bachelor's in physics, master's in computer applications and PhD from Guwahati University. He has over 16 years of teaching experience and his research areas include expert systems, image processing and web technology. I have now request Dr. Rajit Dev Choudhury to deliver his talk. Please sir. Thank you. An honorable vice-chancellor sir, my esteemed colleagues and their students. So the topic of this webinar is artificial intelligence in a new age environment. So I will share. I will not take much time. I will take 10 or 15 minutes. and then the other topics will be shared by our another resource person, Dr. Paul Burman. Now, I will directly go to a PowerPoint presentation where mainly I will show you what is artificial intelligence, what are the various branches of artificial intelligence and how real life applications are developed using those major branches. Okay, so now I will share my screen. Is it visible? Yes sir, it is visible. This is artificial intelligence. We are all familiar with the term artificial intelligence. And we are using various applications knowingly or unknowingly in our day-to-day activities. So, what is the definition of artificial intelligence? It is a way of making a computer, a computer-controlled robot or a software which can think intelligently in a similar way like a human being. So, artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. As human think and do accordingly. So, the area of the main objective of artificial intelligence is that if we can replace the thinking capability or the activity that is performed by the human being in different areas, to take decision-making systems, to create decision-making systems, to make intelligent systems like robots. So, various types of sectors are there in artificial intelligence. So, these are the main major branches of artificial intelligence. You may not hear these terms. So, this is nothing but if I explain, so you will be able to know what are the systems and most of the things that we are using already. So, one is expert system, next branch is natural language processing, speech processing, computer vision, machine learning, deep learning and robotics. So, all these areas are very, very important and lots of researchers are carried out nowadays in all these branches of AI. Now, the current trend is going on in machine learning and deep learning. Computer vision is also there, speech processing is also there. Natural language processing is an important component of artificial intelligence. Nowadays, different types of researchers are carried out in our university, Guwahati University also in Desperate University, Guwahati IIT. Lots of projects are being, nowadays at present, different types of projects are being going on in the natural language processing system. So, let me give some brief idea, what is expert system? Expert system, the main goal is, the main goal of expert system is to emulate the expertise of a human. So, the main purpose of expert system is to replicate the knowledge and skills of human expert in a particular area. For example, in Agricultural. So, and then to use that knowledge to solve similar problems without human experts participation. So, what is the use of expert system? Expert system is a computer program that uses artificial intelligence method to solve a particular problem with a specific domain area. For example, agriculture, in case of suppose education, in suppose health sector, different areas. So, there are some experts there, we know that experts have different knowledges. So, what is the aim of the expert system? The knowledge of an expert, this is the block diagram of an expert system. The knowledge from an expert will be captured, will be transferred by a person or a number of person, which is called actually in case of expert system, it is called a knowledge engineer. So, the knowledge engineer will convert the knowledge of a particular expert in a specific domain, and then that knowledge will be transferred in a computer understandable way, which will be stored in the knowledge base. Suppose this is a user, normal user. So, it will interact with the system, then depending upon the input given by the normal user, that will be processed by the rule engine or the inference engine. So, it will take the knowledge from this knowledge base, it will process and then accordingly it will provide a different suggestion to the normal user, which is non-expert user. Then depending upon the input output given by the expert system to the user, the user will ask some question. Again, it will be processed, then it will be given to the, it will be, the output will be forwarded to the non-expert user. Accordingly, the process will continue and ultimately a recommendation or some suggestion will be provided to the non-expert user. So, various types of applications are there, I have already mentioned, so I will not go in detail. So, this is an emerging area of artificial intelligence research, natural language processing. So, these are some subsections, sentiment analysis, information extraction, question answering, machine translation, information retrieval, so all these are part of natural language processing. Now, what are the applications? If I consider, if I speak about machine translation, so this is a very, very emerging area. Application like Google translator, Microsoft Bing translator are used nowadays. And last year, so Google translator was introduced two years back, but last year Microsoft Bing translator introduced Assamese language, so what is the use of machine translation? So, there is an interface, there is a source page and a destination page with destination box. Suppose you can convert text messages from one language to another. Suppose you have written some text in English, suppose you want to translate in Assamese, it is possible now. Last year it is introduced by Microsoft Bing translator in their system, but till now Google translator is not used Assamese language. So, I will show you at the end of this presentation how interesting it is. So, you can translate using machine translation, you can translate from one language to another language. If you type some text, it will automatically translate it to a particular language. So, I will show you. So, this is speech process, another speech recognition and speech processing. The term speak itself, what is speech processing? It will take the human voice and then it will work accordingly. It will recognize and whatever the task is given to the system, it will work accordingly. So, we are already using these type of applications. So, one example is Alexa. Most of us are using Alexa in our day-to-day activities. Alexa play music, Alexa play video. If you are using Amazon Firestick, then you can with the voice command in the remote, there is a system. Alexa is already in build. If you give the command like that, play a Bewhouse song in the YouTube, it will come. So, we are already using. Second one is Google Assistant. What is Google Assistant? It is an artificial intelligence powered virtual assistant developed by Google that is primarily available on mobile and smart home devices. If you install an app of Google Assistant, Google Assistant app in your mobile, then you can give the command. So, you can try. If you are not familiar with this, you will find very interesting. Simply, you have to install Google Assistant from the Google Play Store. Then you can give, suppose you speak, suppose you give the command like that, open the Google app, open the Zmail app. The Zmail app will be automatically open in your mobile. Suppose you want to learn what is the weather report of Guwahati. If you speak, suppose you speak weather report of Guwahati, then automatically in the browser, the weather report will be displayed. Suppose you want to know the distance from, suppose you want to go from Jalukbari to Jorhar, for example. So, if you see, if you speak, go from Jalukbari to Jorhar, then automatically the Google map application will be open. So, it is very, very interesting. So, if you speak, suppose Krishna Kanta Handik, Khandiko State Open University, then automatically in the browser, about Krishna Kanta Handik's Open University, the information will be displayed. Accordingly, some price will be also there. It will speak the paragraphs or the content associated with Krishna Kanta Khandiko State Open University. So, if you are not using till now, what is Google Assistant, so I request you to install it. So, you will find much easier and you will feel that I am using artificial intelligence in my mobile. Similarly, Cortana. Cortana is a virtual assistant developed by Microsoft, which uses Bing search engine. So, if you are using Microsoft Windows 10 in your laptop, then it is inbuilt. It is already installed. Cortana is already installed. Then using that Cortana, you can open, suppose open Microsoft window, open PowerPoint, it will automatically load. You can try also. Siri. Siri is a virtual assistant that is developed for Apple Incorporations devices, iOS, iPad, etc. So, we are already using this one. If you have not explored this one, you can try. Next, what is computer vision? So, this is an emerging area of artificial intelligence. So, what is computer vision? How computer visualizes and acts accordingly. So, that is the area. So, it may be a video, it may be image. So, computers and systems to derive meaningful information from videos or other visual inputs and take actions on or make recommendations based on that information. So, the input will be videos or other visual inputs. It may be images also. So, how we can explain computer vision? So, this is computer vision, human vision system and this is computer vision system. Suppose this is a bucket of, suppose this is a bucket bowl of fruits. Now, what happens? The human brain with the help of eyes it will detect. So, the input will be taken into the, it will be inputted into the human brain. Then the human brain will process it. It will identify that in the bowl, there are some bananas, there are some oranges, there are some lemons, there are some peaches. Now, we have to replicate this system into a computer smart computer system with the help of artificial intelligence. So, what we do? What? These are the inputs. Suppose this is a, this is an image. So, we have to identify what are the contents available in this bucket. So, with some sensing devices, the input will be taken as image. It will be processed here with some algorithms, some techniques. Then it will predict that there is a bowl, there are some oranges, there are some bananas, there are some lemons. So, it is similar as human vision system. But though we have mentioned that we will replicate this one, it is not a very easy task. So, lots of resources are now being carried out and also some applications are done. So, what is the application of computer vision? In the healthcare section, I will mention few points. In the healthcare section, COVID-19 diagnosis or COVID-19 diagnosis, computer vision is applied because we will get the images of the diseases. Cancer detection. So, cancer cells are different from other cells. So, some algorithms are applied to detect cancer cells. It can predict early detection of cancer. It can predict. So, this is one of the application of computer vision. Tumor detection. This one also. Again, in case of agriculture, large numbers of resources are carried out. Animal monitoring is one of the applications of agriculture, computer vision system, harm automation, insect detection, plant disease detection. So, this research is already carried out by one of our expert resource person who called Burman. He will explain what he has done. Agricultural product quality testing. So, these are the emerging areas. Mass detection. Uber has created computer vision pictures such as case mass detection to be implemented in their mobile apps. To detect whether a particular passenger is wearing case mass or not. So, programs like this make public transportation safer during the coronavirus pandemic. So, already Uber has introduced these features. I don't know whether it is already available in their apps or not, but the research is going on and they have implemented it. I think it will be a beta version. I think it will be a testing version. So, this one. Object detection from a street. Suppose lots of objects are there. These are the people working through the road. These are the vehicles. This is a truck. This is a bus. This is a taxi. This is a person who is riding a bike. So, in a live video with the help of computer vision, it can detect the objects and it can predict or it can monitor. It can give some suggestions. It can give some inputs to a particular system. So, all these are complies using computer vision. Vehicle classification in a road. It can be done using computer vision. So, with repeatedly growing affordable sensors such as close-circuit television camera, light detection and ranging, an event, thermal imaging devices, vehicles can be detected and tracked and categorized in multiple lengths simultaneously. So, in foreign countries, it is already been implemented, but resources are going on but already these are implemented. So, what is the technology behind it? So here, deep learning methods make it possible to implement large-scale traffic analysis system using common inexpensive security cameras. This is an interesting application of computer vision in artificial intelligence. Self-driving cars. We can imagine that there will be no driver in a car and it will automatically go from one point to another in a traffic without colliding any car or obstacles. Is it possible? Yeah, it is possible now. So, what is the technology behind it? Machine learning algorithm make it possible to self-driving cars to exist. So, machine learning even allows cars to learn. So, how it works? This particular car will learn how to perform these tasks as good as even better than human. It allows a car to collect data on its surroundings. It will collect data from its surroundings, from cameras and other sensors that is attached to this particular car. It will interpret it and then decide what it says to be done. So, I request you to simply go through the YouTube and simply type self-driving car. Then you will see some prototype model that is already developed by some manufacturing company, car automobile companies. So, you can see that two persons will sit at the backside of a particular car in a busy road. It is travelling at some point of time. Suppose one passenger will come out from the car, then again he will say goodbye to that particular passenger. Then the car will be moving automatically. It will take some time in a particular street. If some obstacles are coming, the brake will automatically come. So, you can see in YouTube. So, Google, Tesla, Apple, etc. These are some companies which are working on this research. Another area of application of artificial intelligence. So, knowingly or unknowingly, we are using a recommender system. So, mainly the recommender system is used in online shopping applications. Suppose you are using Amazon or Flipkart or suppose like other shopping cart applications. Then you can see that depending on your browsing history or your order history, it will recommend that this particular product is suitable for you. It will give the recommendation. So, this type of application is already using. So, recommender systems are machine learning systems that help users discover new products and services. Every time you shop online, a recommendation system is guiding you towards the most likely products you might purchase. So, now you can remember that yes, in my mobile, while I give some, while I put some order, then it will at the bottom of the screen, some recommendations are coming that this product is suitable for you. This product is sold for suppose 1,000 or 2,000 or 20,000 times. This particular product has the rating which is higher. So, they will suggest you that you can buy this one. This much discount is available. So, these are all applications of recommendation system. Imagine, we YouTube, if you view YouTube videos, it will also recommend you that you can like this video. So, what is the technology behind it? Again, another emerging area of research, artificial intelligence, deep neural network or deep learning is used in YouTube application. So, YouTube tracks users, viewers history, and perceives satisfaction to generate a personalized stream of recommendations. So, this machine learning process is likely still a major part of YouTube's recommendation algorithm as their overarching goal remains viewer satisfaction. So, why? Why it is important? So, the ultimate goal of the application is that viewer satisfaction. If you buy something, it will recommend you can buy this one. This may be, this product may be useful for you. So, already, we are using it. Another application, AI powered, AI powered, AI powered, set power. What is a set power? So, it is a computer program that fundamentally simulates human conversation. It allows a form of interaction between a human and the machine, the communication, it happens via messengers or vice-commands. So, if you notice that if you open some web applications, some websites, a chatbot is open in a pop-up window. So, this type of application is used by selling some products or in educational institutions also. So, AI powered chatbot application can be integrated in a website of a university or other educational institutions or some other shopping cart applications. Customers are there. Suppose for customers, it can be implemented. Now, how it works? So, I will not explain this one. I will speak. I will explain how it works in a real-life situation. Suppose you opened up KKHSO. If we integrate AI powered chatbot in our website, how it will work? Suppose we have integrated AI powered chatbot in our website. Then when we type KKHSO.in in web browser, so the website will be open. Then simultaneously, in a pop-up window, the chatbot will open. May I help you? I think you have already seen this one in some web applications. May I help you? Then yes, suppose they will. What type of information is required? Suppose in the pop-up window, it will be displayed as what type of information is required? Suppose admission, result, fees, programs, those options will be displayed to a particular student. So, if the student clicks the admission, suppose now admissions are going on. So, if the student clicks the admission, then it will give some message. Okay, thank you. So, which type of, it will then ask the student, ask the student that, what type of, in what program you want to take that admission? So, then it will display the possibilities, MA, MSC, suppose BA, BSE. If he clicks the MSC or MA option or the master degree program, then all the programs under the MA program will be displayed. Then it will ask which program you want to say. So, in this way, it can navigate, it can assist the student without the introduction of a human expert. Okay, so this type of application is already implemented in different universities. So, we are also planning, in KKHSU, we are also planning to introduce this one in a short interval of time. So, this is the application of chat pop. Okay, so I will conclude my presentation with this type of knowledge, whatever I know. So, since I am not going, I have not gone in deeper because the audience is from different, you know, from different fields. Okay, but now I would like to share one important area of artificial intelligence, as I have already mentioned that, machine translation, machine translation. So, this is Microsoft being translation. So, I will show you how you can translate from content from one language to another language. Suppose, I am trying, I will write, suppose, we are, suppose, sitting here. So, this is the source language, this is the destination language. So, we were converting from English to Assamese. It is automatically translated. If I write, I eat rice, it will be automatically translated to Assamese. Suppose, I want to translate, I eat rice from English to Hindi. So, you simply have to click here. The destination languages are displayed here. So, I will translate to Hindi. Here, Hindi is available. May, chawal, khati hu. So, this is very, very interesting. And if you want to translate some content from one language to another, you can simply make this one using Microsoft being translator or Google translator. So, if you type Google translator, they have also developed this type of application. So, with this presentation, I will conclude my presentation. Thank you. Thank you, sir, for that informative talk. I would now like to introduce our second resource person for the webinar, Dr. Uthpal Bormon. He is an assistant professor in the Department of Computer Science and Engineering at Girija Namba Sodhuri Institute of Management and Technology. He had done his BA from Assam Engineering College, Emmy from GIMT and PhD from Guwahati University. He has over 10 years of teaching experience and has collaborated in many research projects. His areas of interest include agri-informatics, machine learning, deep learning and image processing. I would now request Dr. Uthpal Bormon to deliver his talk. Thank you so much. Thank you, Mr. Subha madam. An honorable, essential officer, Dr. Uthpal Bormon, and other proficers and teachers present in this webinar. Thanks to all of you at first. And myself, Dr. Uthpal Bormon, I have already given this to Mr. Subha, that I have completed my PhD from Guwahati University. My area of research is deep learning and machine learning, in the area of agriculture. So now I'm going to, in my talk, I'm not going to indicates how the machine learning and deep learning can be used in agriculture. I will show you, I'm going to discuss how that AI and machine learning and deep learning are basically used for the new ways of environment, how our environment can be changed with the help of artificial intelligence. Because when we are going to talk something about our environment, environment means so many components and their factors are associated with the environment. So these kind of factors and component I'm going to discuss in my talk. And apparently I have seen that a few question arises in the chat box. This question I'm going to give, I will try to give the answer of this question. Okay. And now I'm going to share my screen and start my presentation. Is it visible now? Hello? Hello? Yes, it is visible. Yes, it is visible. So artificial intelligence is the new age of environmental. This is the area of today's webinar. So what is artificial intelligence? So actually I already told us nicely that the definition of artificial intelligence and its application. Okay. I'm not going in details actually. So what I can tell that AI is basically a tool. So I think that it is a tool which make possible to learn machine. So when we are giving something to a machine, a machine will learn from those inputs and from those experiences with the help of artificial intelligence. So after learning, the machine will learn something from those experience and inputs. After learning, actually machine will predict something and the data can be generated from that machine. And it will going to classify or it will going to recognize something with the help of artificial intelligence. So the main question is that how we can put the input or some kind of experience to a machine so that it will automatically learn something. The overall techniques is comes under artificial intelligence. So as Sururisa is already told that it's resembling our brain. So when something is coming to our brain, our eyes senses something and from those sensing, those informational processing under our brain and brain will detect and brain will tell. And that whether that actually the bucket of fruit has some kind of oranges, RDR or not, some bananas, RDR or not, whatever the example that Sururisa has given actually. So that type of processing actually given that type of processing has given by our brain. So if you if you if you change the same kind of thing with the help of machine or with the help of computer technology, it comes under artificial intelligence. So the application of artificial intelligence are basically we can say that interactive AI. Interactive AI is already Sururisa has mentioned it's something related to the chatboard or smart personal assistant Google assistant the speech processing whatever that Sururisa has mentioned. Then some kind of AI function is application is functional AI. It's related to our internet of things some kind of robots is there and analytics AI is also their analytic is related to sentiment analysis and the risk assessment also done then takes AI where we can process our speech as well whereas the national longest processing kind of team takes recognition speech to text conversion then visually I related to the computer vision and augmented reality. So that augmented reality is very useful is nowadays and it's we can focus on the augmented reality and I will go to tell actually what is augmented and the virtual reality and how we can change our environment our society with the help of those AI technology and by forming some kind of goal. So these are the applications already I have mentioned about this application it's machine learning speech visions and LP expert system planning optimization robotics all has all nicely explained by Sururisa so I'm not going to tell anything about this application it's something related to whatever Sururisa has explained. These are again some applications. These are a subset of the application astronomy healthcare transport aggregates education e-commerce entertainment robotics automatic social media data security finance and gaming. So all those components are basically related to the environment somehow these are related to the environment. So if you change all those factors suppose gaming or astronomy or healthcare something somewhere they will relate it to the environment and they will change our environment will be a new kind of thing you will get a new age of environment by using a artificial intelligence that I'm going to talk today actually how we can change our environment by considering the new ages actually the new factors the new components. So for that we need some kind of actually goals so I have formulated 11 goals for that it and based on that 11 goals I'm going to discuss how we can change those 11 goals with the help of artificial intelligence. Actually for that one scientist from China they have carried out one research the summary of positive and negative impact of artificial intelligence on the various sustainable development goals. So they have formulated 15 goals. I have considered a few goals from their research paper also out of that 15 goals they found that 79 positive impacts impacts and those 15 goals are formulated in the three sectors. One is the environment one is the economy and one is the society. So when we are something tell about our environment these three components comes together environment society economy these are related things. For three goals, what is the kind of goals they have formulated another 15 subset goals sub goals. So they found that 79% positive impacts of AI in these three areas and only 35% negative impact they have found in their researches and that research is already present in in the research they have published that research paper in a nature and if one to someone is once that one they can find what is the summary of positive and negative impact of AI on the various sustainable development goals. So I today actually what I focus I will formulate those goals and I will tell you how we can change those goals with the help of AI. So AI in subset one of the participant has already asked one question what is the relation between machine learning and AI I have already taken chat box. This is his answer actually. So AI is a broad sense. So under AI the machine learning will come the machine learning is a subset of AI and deep learning is a subset of machine learning. So we can say that artificially is a big part actually where we can include all those kinds of areas, whatever so to research has mentioned starting from NLP to machine learning to deep learning. So machine learning is some kind of algorithms are there where machine will learn something and it will predict something or it will give some kind of prediction. So this is a subset of AI and deep learning is a part of machine learning is a subset of machine learning, it's a component of machine learning where learning are possible in a deeper sense as actually in a deeper senses. So with the help of deep learning, we can say that machine can learn more deeper and deeper in a little bit more specific or estimate the new things very accurately. AI is a broad sense and machine learning is a subset of AI and deep learning another subset of machine learning. So we can say that deep learning is also a subset of AI. So basically when we are something, when we are telling something about the learning actually the learning means, learning means AI means it's a learning. So that also means it's learning, learning means machine will learn something and it will give it will give us something. So that something is related to the classification, regression or probability estimation. So suppose what is what is what is a classification, one example, the sorority that has given its exact fruit recognition. So we can say that this is a classification or object detection, though it is object detection we can say that it is a classification because we are going to evaluate the objects whether the fruit is a fruit present inside the basket is is a banana or not is a mango or not or is a orange or not. So these type of these are the part actually known as the classification part. So that type of classification we may do with the help of machine learning with the help of learning, learning or machine learning or deep learning. So regression means some kind of estimation kind of things are there when we are going to be some kind of continuous valuation means, suppose if you are going to predict something suppose temperature prediction what is the temperature of tomorrow, what is the with the rain fall occurs by tomorrow or not whether what what is the what is the price of this year by tomorrow so that kind of prediction actually done with the help of regression technique that means some kind of estimation in the near future can be possible with the help of regression technique. And I know that those people's hair and the participant are from their different fields because one technique are very familiar among all of us that is called linear regression so basic linear regression we may use to predict something that same that same whatever the linear regression you have learned that technology we are going to implement with the help of computer programming or the different computer technology we are going to implement in our computer and computer will tell us what is the price of the share by tomorrow what is whether there will be rainfall or not or what is the temperature by tomorrow or not so that kind of things are possible with the help of machine learning. And hard one is the probability probability is the output is the probability kind of thing. So when you have you have a little dice and you're going to do something. So that kind of probability thing whether six will comes in the next next turn or not so that kind of probability thing we may do the help of machine learning so this is a very important actually the probability estimation and especially the recurrent neural network so those who are not from the computer background these some are very new for them. So we may focus with the help of deep planning in the probability estimation. So what company the company actually uses the AI for the environment sustainability. So Google already uses the AI model to reduce the energy by each load by load of each source hungry data centers and using the overall cost of the pooling by 40% so they have Google have their own data center because whatever the data we have share we know Gmail or even the Google in the Google it's a day those all those information are safe in the data center data center. So obviously data center they the center will process the data and obviously the heat will generated to cool the center actually they use the traditional previously before four years they have used the traditional technique but after four years they have used the AI techniques so implementing the AI technique in their data center their cooling processes is reduced by the cost of the cooling process is reduced by 40% so if they are not going to use that AI technique in the cooling system that 40% cost will be not reduces. So the question is that can you imagine that the overall costing of your house or of your what about a machine that you have in your house starting from fees to our TV that we can reduce that cost yes we can reduce because today's now that company are already given that advertisement with the help of some kind of star rating. If you check the freeze you will get that five star rating four star rating three star rating and company is that if you have a five star rating fees your data and the bill and as the bill will be reduces how does it possible because they are going to implement some kind of AI technology inside the freeze they are going to implement some new technology inside the preview so that's why these are possible and the what about a technology they are going to use are something related to the renewal energy consumption so that actually the renewal energy consumption they are focusing so the help of renewal energy consumption forecasting they are trying to reduce actually the cost of the overall energy with the help of new AI technology. So now IBM also using AI for better weather forecasting because we will get a better weather forecasting through IBM because they they use the artificial neural network and they are prediction 30% more accurate than other model so whatever the model that our meteorological Indian I am the Indian meteorological center they have used still they are using some kind of radar type of technology they use if you if you want to check and go to the our that Indian meteorological center near to our airport they still I found that they are using that some kind of radar technology that not using some very efficient AI based technology and so what IBM is basically use that AI technology but in our asam actually once are actually he is a prof. Bhupendra Bhushami sir I said Bhupendra Bhushami sir is from Kottan University previously sir I is present in acting as a director of Indian instead of tropical meteorology so I made sir before four years sorry before four months or five months I used to talk which are and sir is doing a very good research in that area not in the very good research the excellent research sir is doing so sir is predicting some kind of new thing with the help of AI for weather forecasting and sir is already open one new center in Kottan University so that type of work is already done in our Kottan University or sorry regarding our climate changes or weather forecasting that excel energy is a coal burning on each company actually which are going to detect that nitrogen oxide emitting utility company actually they are using AI to predict the better energy consumption pattern on adaptive operating system so that we will get a very efficient energy consumption technique so what they are the they are focusing on nitrous oxide emitting so the help of nitrous oxide emitting they are predicting whether energy consumption can be reduced or not so with the help of AI they have some data in the in their company by taking the data from the environment and they process it and with the help of processing they find out it's possible now that energy consumption pattern can be predict with the help of AI is possible it's already shown by excel energy then Carbon Tracker is a company which is basically focused on climate advocacy team tank they use AI to track the emission from a coal plant so what about a coal plant we have our near surrounding they take those information and and with the help of satellite imagery and using the satellite data they will guide the investment toward a lower footprint ventures so they'll predict actually the climate advocacy so by taking those data from the satellite information so these are the few companies actually I have mentioned they are focusing on environmental sustainability actually so now the actual thing what I'm going to start from this slide what the new age of environment age goals so when we are going to say something about the new age of environment we have to formulate some kind of sustainable development goal and these goals are the blueprint to achieve a better and more sustainable features for us if you if we we can achieve these goals with the help of AI and we I can tell you that we will achieve a very good life a very future very bright future in our in the near near time so what are the goals actually what are the goals we should consider and how we can overcome how we can achieve those goals with the help of with the formal by formulating different kind of issues and under the goals that I'm going to discuss so the first goal is something related to in poverty. In all its forms everywhere so we know that property is there property is there in India also in our assam also you know what he also in other countries also so somehow can we use the artificial neural network technology to reduce or to end the poverty in all its from everywhere so now the question is that why poverty comes the property are basically come when we have a natural resistant when we have a war when we have a conflict when we have a affordable food when we have a lack of education when you have a lot of skills so these are the issues of property so necessarily just when it will affect on the farming when we have a war in our area automatically that means the farming will affected when we have doesn't have an affordable food that means farming are not good in that area lack of education when we have lack of education that means people are not educated they doesn't know how to upgrade them themselves when we have a when we doesn't have any skills doesn't produce anything we can reduce all those kinds with the help of AI yes we can the first point is that necessarily just a war conflict and affordable food these are all three factors are related to agriculture what is actually my research so in that three cases we can reduce by improving the farming lands and agriculture the question is that how we can improve the farming lands and agriculture with the help of AI that I can tell you later how we can improve because this is my research area I can tell you very that very efficiently I can explain all those things how where we can focus on how we can explain how we can that one actually improve the farming lands and agriculture. The second point is the lack of education can we use AI in the education yes we can use education so this is also maybe so I have formulated the lack of education as a second goal or third goal so we can use AI also in the in the education also to upgrade the skill also so when you remove or use AI in all those factors I think that property will be loose will be ending in all the areas in all the forms everywhere we will end up the property. Basically one company is there that is company is known as firm view and exclusive compression sensing robot and AI tool they what they are doing they used to they use the sensing devices and AI techniques or sensing robot to implode the plant breeding and increase the growth of prop life surgam so actually that technique I basically applied this is a company which actually focus on a plant called surgam. It's an Ethiopia based plant is there so that company is utilizing the sensing robot on AI to increase their plant breeding so plant breeding is something related to the gene analysis of the plant or something like that. So they are focusing on improving the plant breeding and increasing the growth of prop life surgam so this company is using AI so in our area also if you focus different kind of AI technique to improve the productivity of the agricultural or we can teach us our farmer that these are a technique you may use or that using that technique you can increase your productivity I think that we can reduce the property and that is maybe that will after implementing all those kind of thing we may have a very good future in our near life and this is the first goal we should have to share the second goal is to AI for zero hunger can we reduce the zero hunger with the help of AI yes we can why not because already company they are using this one. How we get the AI to reduce the zero hunger because people are suffering from zero hunger in our area also if you go through from Guwahati to Panbaza we can see that so many beggars are present in the nearer roads so how can reduce that hunger I can analyze the large amount of data to locate the area affected by the hunger. So we actually doesn't know where the hunger people are present because we see that people are present near the roads they are asking someone they are asking for money the beggars are asking for money but how we can directly locate. So with the help of image processing technology or remote sensing technology or with the help of AI we can analyze the large amount of data or we can locate the areas affected by the hunger that is possible that is possible. And it can provide a more efficient distribution of food also so when you locate a good when you locate the area then you can directly provide the food to those areas and it can empower the old technologies. But previously what we used to do we used to know how where the hunger hunger hunger hunger people are present we used to ask some more French where the hunger hunger people are present. We tell that if you go to the Dolgopinder Mandir and you find some peoples there will go to the Kamikha Mandir you will find some peoples are there sometime you may not get those people. But if you locate with the help of remote processing remote sensing technology this area you can directly go to this area and receive the food and it may be reduced some kind of it may reduce the zero hunger it may it may reduce the hunger hunger in that area so that is possible and that is possible with the help of smartphone. And company is called Rapid Mathematics and they're using the deep learning and machine vision to combine the information of freshness of good food. So how they are doing they are what they are doing when the freshness of good food are over suppose what used to go those who are very rich people they are always try to buy the foods. Those who are very fresh, they are used to do by the fresh food actually, but if food are not not not in a fresh condition, suppose after four or five days suppose if the food are not in a fresh condition, fresh condition means these are not actually bad, but some people are used to buy that so what you are used to do. If you can reduce the price of those food, food actually due to the freshness declines so we can, we can sell those foods to someone, those who wants to distribute those foods among the hungry people, and this will reduce the price and provide a better notion about the consumption of effective stories because that type of technology we should have to think that type of actually the problem we should have to think where the problem arises in our environment. This company finds that the food are actually that means some of the foods are actually the prices of the foods are lower due to the freshness so if you are looking at those kinds of thing with the help of AI technology we can focus on that one. So this is the second goal for the zero hunger. And third goal is for ensure the healthy lives and promote well being for all its ages. So already we are basically nowadays people are using this product I have shown in the right part of the slide this is called this watch actually, but that watch will monitor our blood pressure that watch will monitor our the oxygen levels so what what is this one so that is excellent I think but this is a product. This is a product is already in the inside the watch with the help of that AI and sensing that sensing that means the help of sensor, it is going to detect what is the blood pressure present inside the human body and what are the oxygen level present inside a body This is a very, actually, it's very popular in during the corona time also because people are so many people are already bought this one with health record so many functions are already present inside that watch. So this is a product. This is something related to our environment. So I can look for the pattern and make such as one of our life lifestyle improvements suppose. So how what how I can help actually suppose if you have your own data, if you have suppose data of different person, suppose someone is suffering from sugar someone is suffering from suppose blood pressure someone suffering from father diseases, then artificial intelligence can help you and can guide you what type of life you should take, because nowadays what people are our, what that people said today, one healthy healthy life or some kind of different apps are present in our Google Play Store they they are some instructor instructor are present and their features very high, the instructor demanding very high fees for suggestion on the healthy lifestyle, but if you have if you make a AI based healthy lifestyle application with the help of the application if I itself tells us what are the lifestyle we should have to take care of that one. Then it will adopt by everyone because artificial intelligence is going to define us what are the healthy life we should be care, because each that if you develop such kind of application then whatever we have already given to the, to the experts or the health expert, it will be reduced. So we can focus on that one based on that one Google has already developed one that is called deep mind and IBM is already developed on what's on health with the help of this technology, they are monitoring the healthy lifestyle of a human being so those who are interested they may go through this to link deepmind.com and IBM this one. Okay, so this is sometime something related to our environment. If you are fit well, awesome, then we can do better for our future better for environment. The next goal is for AI for quality division. Recently, just before four or five months, one of our own teachers from juror actually. His name is Konkon Kishore Dr. So he received the National AI teachers 2021 from our government. So he use use a technology in his teaching processes that is called augmented reality or virtual reality so he bought one devices which actually build up with the help of air and we are and he use this technique and he teaches his students with the help of air and we are technology, and he has nominated finally he has received this award. So how we can remove the give the qualification suppose I'm going to take the example of the university whatever the university present in our awesome. So, suppose the first university, suppose I'm considering the education. So, what we're doing actually in our university, when someone is coming to your university suppose taking admission in the bachelor degree or in the master degree, they used to come directly to you they have to fill out the form in the form they have to what are the percentage of marks they have got in in high secondary suppose I'm going to consider the physics but sorry the science that's a lot of science she is going to study in the KK and so he used to fill out his physics mark chemistry then mathematics then English and then suppose biology whatever the subject he has in a higher level. So based on those marks, the university authority is going to tell that okay you will go to if suppose his marks is good in physics. It's more than 80% marks in physics. Then you can tell them that you just go to text, of course physics has a major subject in your bachelor. If someone is good in chemistry we can tell them you just go to bachelor by considering chemistry as a major subject. What we are not going to consider the other part of his teaching, we are focusing only what about the marks he has got or she has got in the in the subjects only by physics, chemistry, mathematics, biology, English, but we have no check how many certificate he or she has received from class one to class 12 in the music. How many certificate he has received in the in computer science, how many certificate he has received in the drama. How many certificate he has received in the social in the social activities, simply looking at one subject mark we are going to tell him that go to the bachelor of science and take physics as your major subject. So now question is that now question is that this is actually an issue I think this is an issue because see when a student is coming to us we are telling that we just take the bachelor of science and consider physics as a major subject without looking his previous data actually how many certificate that he has in drama or in music or in any area. He or maybe he or she may be interested in drama he or may be very good in suppose in painting he or she may be very good in computer science we are not looking we are not bothering about those topics we are not bothering about those fields. So, because we are human people we are following the traditional way we are in a traditional way to tell him that or to tell her that go to bachelor of science take physics as your major subject. But if you have a AI model in your, in your university, if the model take all those information, how many percentage you have in physics, chemistry, mathematics, biology, as a English, how many certificates or how many marks what are the percentage of marks you have got in drama, what are the percentage of marks you have got in suppose music, what are the, how many certificate that you have a CV in suppose sports, then I will tell whether you will go to the physics, or whether you will go to the sports, whether you will go to computer science, whether she will go to the painting or not, because we are the human being we are simply following our traditional loop but if you are following that AI kind of thing you know admission process, then I think that it will be very good thing for all the universities, whatever the university present in Assam especially, because in foreign I have found that two, three universities they are using that one. And I have recently that NEPRs are new because some policy actually these kind of thing are implementing that credit so is based technique that process is actually adopting, but still I this is kind of request from my side that if you can implement this kind of thing in the NEPR process, yes if you can implement then it will be very good for the students also. Second point is that if someone make courses then we actually doesn't analyze what is the cause of his dropping, and we cannot predict that how many students will drop from that process, whether some kind of problem or issues are there in the syllabus so that the students are not adopting it very efficiently that's why they are dropping the process, so that type of dropping of student, the number of dropping of students also can be predict in the university section with the help of AI technology. So we can found that AI can be used in a very efficient way in the quality education, in a quality education, and especially that chatbot work, Sodoris has mentioned about regarding the admission and all this kind of thing are practically applied in case of, in case of because the chatbot are basically developed with the help of natural language processing and machine learning, so if someone is very interested or then they can go and we can focus on chatbot with the help of NLP and the machine learning. The next goal is for AI for AC gender inequality, equality and empower of all Omen and girls. So we have found that people nowadays it's very unequal gender distribution is there in our society, especially for the Omen actually, so can you do some kind of AI technology so that we can that can achieve a gender equality among the Omen and it's empower all the Omen and girls, yes we can why not we can use, because I have given her four five example I will take one basic example how we can empower our Omen. See nowadays in especially in our Assam, so many people are engaged in self-help group that people not people sexually that that one Omen actually self-help group SHG, self-help and governments are basically provide some kind of loan or some kind of amount to the self-help group and nowadays the Omen from the village side, they are basically opening some kind of society, some kind of self-help group that they are taking money from the government as a loan and they're producing something. Some people are focusing webbing some people are focusing on suppose making some kind of archer, some kind of focusing on making the gammasa, some kind of focusing on making some kind of gammasa but we are not giving a right platform to them empower all the Omen's how we can we can make a AI based module system or AI based smartphone application for the Omen's where they can find every answer with the help of like a chatbot suppose if someone is typing what is the price of a gammasa or where you can buy where you can sell the gammasa then that chatbot can tell or that chatbot can locate some of the SOAP location or the contact number of the SOAP that these are the SOAP which actually buy gammasa from the SHG group because these are the information not present in the Omen in those group actually in those SHG group. They are simply webbing and done in their side, they are simply making gammasa, they are simply making certain makhala, they are simply making archer in their side but they are not getting a good platform to sell all of those kind of things. Can you make it empowerment? Can you make a good Omen empowerment with the help of AI? Yes we can, we can make because nowadays technology are built in such a way we can because see to locate the SOAP or to locate some kind of big distributor we need what? We need a ZPS location of that SOAP so we can use AI technology, we can call, we can directly call that Google API, we can directly locate those SOAP and with the help of dot AI enabled bot system that Omen or that SHG people that those are directly give those information with the help of those AI technology we can get. So where you can help? The social protection also we can implement to for gender equality because nowadays I found that Dr. Dauri Kias and the RAPKs are present inside or especially in our India also. So if we can make such kind of model when suppose Omen are getting some kind of issues during some time maybe in the evening or maybe in the night. So he may behave a smartphone application and by putting some button inside the smartphone that message will directly go to his parents also some the local police station also that type of technology is already built up but we can also focus in ASAMI's languages. Because he can focus on the local languages also so that type of technology can be built with the help of AI. This is the goal number five. Then goal number six to ensure the access to the water and sanitation for all. Can we apply artificial intelligence to ensure the access to water and sanitation for all? Yes, why not? Because AI travel solution can combine data analysis in general more effective water treatment process because if you have a very data with the help of data you can do the data analytics and you can find that how many water will be required in area, how many water will be required in another area, how many water will be required in another area. So that type of water treatment process can be done with the help of AI technology. And suppose and how we can do this kind of thing suppose if you are going to consider our own home actually suppose if you have a motor suppose if you have a running water that means you have syntax in the start of your building. Suppose after five minutes the water drop from that syntax actually. So how we can know that the water is coming out from the syntax because if you have doesn't have any AI based technology or IoT based technology you doesn't know. You have to wait for five minutes or we have to wait for 10 minutes because see after 10 minutes water may come out from the syntax or may not come out. If the syntax is very empty it will take me 15 minutes. But if you have a monitoring system inside the syntax with the help of IoT or AI it will that technology will directly send some kind of message to your mobile. And you can directly tell your mobile if you build the Alexa kind of thing with the help of AI you can tell the Alexa, Alexa please switch off the motor then directly switch off the motor. Then water will not be washed this. So this kind of thing we may focus we may we may we may build the help of AI. People are already in our India also in Pune. One company that is called SETLAB they are using for AI for sanitation related disease prediction prevention and management under this activity a proof of concept for novel biosensor based on a reuse stack microscopy technique was developed. So what they did actually they use a microscopic technique with the help of microscope they used to take the images of the water. And when you take that images with the help of microscopic order biosensor they process is inside the machine learning they apply machine learning technology for those images and they finally they classify the details some kind of microscopic objects some kind of suppose we can say that some kind of bacteria or something like that. So as they are using on microscopic images they are locating those kind of bacteria viral portion of the present inside the water. This is developed by one of one of the company which is present in India actually that is called SETLAB so we may also focus we may also do this kind of thing. This is not a very big task we need a we need we need a microscope or we need we need to know how to process all those kind of thing. Once you go to all those kinds of thing we are very known to them and we will directly tell how what are the objects present inside the water but simply but if you are going to take the images with the help of a smartphone or with the help of DSLR camera you may not look it for those kind of thing you need a microscopic that one microscopic technique you should use for that one and that is actually which is known as a biosensors. So now it's seven actually what I have seven actually Google number seven AI for affordable and reliable sustainable and modern energy. So can we use AI for a reliable sustainable and modern energy because these are the goals actually which are related to our environment which are related to some of the issues found in our society is you can use as a potential to cut the energy waste what energy cost how we can how we can suppose you have use of you spend in your home after some five minutes you out from your home and you forgot to switch off the phone how we can possible how we can switch off the phone you have to come back to home otherwise the worst is of the electricity. So that is possible nowadays with the help of AI and IoT you can use the IoT and AI and directly switch up like whatever example I have given to you related to your motor that water syntax. So we can use and apart from that one people are also focusing on that and that actually load forecasting the renewable load forecasting with the help of artificial neural network or with the help of AI technology. People are also focusing on the electrical vehicles that AI technology are basically used. So where that energy actually where that charging station will be have to put suppose if one charging station is put in the Jalukbari what is the next location of putting the next charging station for the electrical that is also we can do with the help of AI. That is also possible because if you know the better a live if you know the reliability portion of the battery life they can you can automatically look at what are the next distance we should cover to put or to locate that are next battery station next charging station for the electrical vehicle. Now this type of project will come definitely this will come and it's already time the other countries they are implementing in our India also this will come where you can put those and so on. But if you are implementing that AI technology if simply technique or traditional technology that we are plotting or we are putting those charging station in different areas it may not be effective before going to that one we have to be careful we have to consider about artificial intelligence. So next one is AI for promote inclusive and sustainable economic growth. How we can grow our economy, how we can grow the employment, how we can go to the inclusive and sustainable growth, economic growth. Yes, this is possible. By using artificial intelligence for world world employment, how can you use the world world employment by implementing AI in the marketing and sales by implementing AI in the company to scale up their businesses by implementing AI to create a new job position by implementing AI to in the maintenance of by implementing AI in the robotics, healthcare, automotive transport, gaming industry. So so many industries will come there actually whatever I have discussed is all those factors will come under this one to promote the growth to actually to increase the economic growth and employment. Okay, so next one is AI for build resilient infrastructure and promote sustainable industrialization and foster innovation. So how we can build a resilient infrastructure. Basically, the resilient infrastructure is nowadays is people previously. They are what actually the civil engineers they are basically previously they are using CAD and CAM software for kind of infrastructure or some kind of designing kind of thing now they are using what AI based. Now they are using what AI enable CAD system for infrastructure designing. And since we are the computer science background, in case of computer science actually for IT infrastructure management, we can use the AI where you can put our, suppose have where you can put our next switch where you can put the computer where you can put the server. Because if you randomly put all the server your overall cost of the infrastructure man maybe increases for that if you use the AI kind of technology, or if we use AI for the infrastructure management, they may tell you that you have to put your next server in this location you have to put the suppose your workstation in that position. So that for IT infrastructure kind of thing it's very important, the AI is very important and and and for that actually the scale dot AI actually one product is already developed in Canada, they are in Canada, most of the IT infrastructure of the whole country, they have developed with the help of this scale dot AI technology so this is a AI based technology this is a product actually where Canada people they are using before doing some kind of infrastructure management in our India also we can do that, but I have not found any kind of those kind of thing in our India, like Canada what they have used. Now, next AI to reduce the inequality within and among the countries now we found that we think that some of the people's they are in the third world country some some of the some people's belong to the forward country, but if you're thinking like that India is a crowded country, no one is coming forward to do some kind of business to business still, which India, no one is coming forward to do some kind of business to Bangladesh or in Nepal or suppose, Ethiopia or Ghana, it's not a glad how we can how we can increase the overall collaboration also that inequality within the countries will be reduced that we should have to focus. Yes, we can use AI for that one, how can we use AI by expand and earning the income tax, we can frequently we use that export input business is present in between the country, how we can suppose enable how we can increase the growth of export and import business with the help of AI that we should have to be care take care of that one. If, yes, people are already focused on focusing that before implementing I don't export and import businesses we have to know what are the issues they are actually focusing on those kind of thing what are the issues are present within the countries, those kind of issues may be removed, or maybe reduce or maybe overcome with the help of AI technology that we should have to think. Okay, so that is possible with the help of Expand income tax, build the asset for working families, invest in education, making the tax code for more progressive and residential segregation. So if you are focused all those kind of thing with the help of AI, and I believe that this will reduce the inequality within and among the countries. Next, the AI to take urgent action to combat the climate change and it impact this is the last one actually. So, actually what can you focus can you implement artificial intelligence for climate change yes we can. Why not we can, because I have already given an example that can we know what is the temperature by tomorrow. Yes we can. Nowadays it's it's very easy because see that those data whatever the related to whether that these are already those are present in the gov.in if you have those information, you can directly apply artificial neural network or directly apply any kind of AI technology to predict what are the tempers are by next day. And if you predict the tempers are with the help of debt, this is something called as a time series prediction. So if you know the time series prediction, you can directly apply artificial neural network or AI technology to predict or to find the climate change or its impact on our society or our environment, this is possible nowadays, and people are already using people are already using AI for that one. These are the 11 goals actually that I have formulated related to the end. So as I'm also a computer science people and and I am focusing on machine learning and deep learning my goal. I have not familiar with all the goals, but I have focused in one goal that is called end of poverty by increasing the farming lens and agriculture. So my in my research I focus in the I contributed different actually techniques, I developed two products actually. And that two product I will show you today, and how these two product can be used by the peoples of Assam, and they can use these two product and they will grow their business actually the agricultural business, and I'll show you how what is my contribution to end the poverty in all its form everywhere. So my contribution to improving the farming lands and agricultural increase the productivity. So how we can increase the productivity. So basically artificial intelligence can be used in agriculture. And that if you use the computer science technology in agriculture that is known as the agri informatics. So we may focus in the different areas of agriculture so many walks to be done at the time also we one can someone have interested they may go through that area. So in soil plant crop fruit crop and weather and Michelinias six categories I have divided the first category is called soil. So when some peoples are doing our farmers are doing farming, actually it doesn't have any idea about the soil. So they directly do their cultivation in a soil but we know that the all types of soils are not good for all types of farming. Okay, because if you are going to take the consideration of the rice cultivation for rice actually the clay soil is very important. The clay soil is very important for rice but but if you that one take a sandy soil the sandy soil is not good for rice so if some peoples are doing or some farmers are doing suppose rice cultivation in sandy soil their productivity may not be good in that context. So we if you can you build a subs kind of system for the farmer by using that a farmer can directly know that what type of soil it is. Yes, it's already developed because we have a hydrometer lab we have a pipette method. The hydrometer and pipette method lab are already present in Agricultural University in Agricultural Laboratory. If farmer want to take some kind of soil to that laboratory. The expert will help the farmer and they will get the result what type of soil it is but the question is that whether it is possible for all the farmer to come to the expert side. Whether it is possible for the old farmer to come to the lab because sometime the cost will involve if peoples are coming from villages to town for a soil testing and it will take two, three days. The overwork that means that that farmer will be demotivated because three days means he has lost something because three days means if you take 300 per income for a farmer so he will last 1000 and for testing also he has to pay something. So can you develop some kind of technology to overcome all these issues. So among those six categories I my first contribution is this is the hydrometer method is when people are using hydrometer method. They used to know that whatever place and then sell soil present are present actually whatever soil it is whether it is a clay soil, silty soil or sand soil are there. Actually hydrometer soil hydrometer is not going to tell you anything hydrometer will going to tell you the percentage of clay percentage of silt and percentage of sand present inside the soil. And if you put all those values inside a USDA triangle that USDA triangle will tell you what is the actual texture of the soil and then only you can go for farming. But what I did actually I use AI based technique I use a support vector machine. A support vector machine and computer vision technique I have implemented and I found that with the help of computer vision and AI based technique we can directly tell that what type of soil it is because soil texture is different. The texture of a clay soil texture of soil texture of sand soil and not similar something different. So if you are going to use different kind of technology with the help of AI based AI or a computer vision, one can directly classify what type of soil it is. And nowadays I found that people from other areas also they are focusing on soil texture. This is whatever I have did and it is after that one paper is published in 20 in LC where that I have shown here. So this is the soil texture what I have contributed. And this is now the second one as I have contributed is known as what is called soil pH. So what actually soil pH is very important see in Assam to our all type of soil the pH value of soil is very good. That's why in Assam the farming is very good. But if you are considering for Uttar Pradesh and Rajasthan their soil pH are not good and we know that all type of soil pH also not good for all type of farming. So what people are they are usually doing they are not doing any kind of soil pH testing, but one can they do they can use the first diagram. The first diagram means it is a soil pH chart. The soil pH chart but taking the soil in a paper by using some kind of litmus there is a change. Once the soil color will be changed then that soil color and soil pH chart color they are trying to match by their naked eyes. If someone if the color will be matches inside that soil matching some values of the pH will be written in the soil pH chart and from the pH chart they will get the soil pH value. This is one of the procedure. The second procedure is the sensing devices which costs are there. It's the cost of the soil pH sensor is nowadays it's 500 to 1000. So one can bought type of sensor also but you cannot directly rely on those type of information because it will that it's only that durability of those type of machine is not good actually. So if you put those kind of sensing devices inside the soil in the meter itself the soil pH value will become otherwise you can directly use the laboratory method which is the soil pH this is the pH meter in the third diagram in the third row diagram. So tree diagram I have put it here you have to take the soil sample and you will get the soil pH value after doing the laboratory test but all those information are demand expert and suppose expert eyes. So it's which is not basically present in our the farmer which are present in the sum actually I think so what I did I can I do some kind of technology yes I have mixed up the first and the third traditional technology. I used to capture the images of the soil and in that first image they are matched the matching is done by the farmer each show the naked eyes. So that matching I have done with the help of technology and I did a experiment on data and I find a very good result and which I have formulated a paper it's published actually. And then hard one is contribution towards the plant physiology so plant physiology actually it's something related to the chlorophyll actually the one part of plant physiology is the chlorophyll. And we know that the chlorophyll is very important for chlorophyll is very important for the whole that food and some related thing is related to the chlorophyll. And if the chlorophyll value is not good in a plant or in a leaf is not good excellent that excellent the food productivity of that leaf will be not it's not good. So what I can do, one can detect and find the chlorophyll of a leaf with the help of a spectrophotometer or with the help of the devices what I have shown in this diagram. This is a spare, this is a spare actually soil plan analysis device meter and the cost of this device is to like 80,000 I have bought the devices. I have in I have that device I have bought the devices, the cost of the devices I have bought the devices in 2.8 lux. So, when someone is wants to find out the chlorophyll value of a leaf, they used to have to use the spectrophotometer or they have to use the spare. But traditionally the cost is very high so from the government side also it's not possible to give one one spec to one one farmer. So what I can did that spectrophotometer and that this this pad actually they are taking the lead and they are combining they're finding that they're trying to be related the color of the leaf with the flow of the value. It's already put that the color of the leaf somehow related to the chlorophyll that that that is the that is my research point actually what I did. Somehow I try to relate it the color of the leaf with the help of the chlorophyll. So I have developed AI technique with the help of computer vision and artificial neural network. And finally, one, then product has been developed that product have been loaded in a in a URL at the chlorophyll dot heroku dot app dot com. This is the live product which I not actually I a few people are also associated with me and so the research is associated me one or my students are associated with me. So we have one product the chlorophyll dot heroku dot off it's already loaded in that site. If someone is wants to set the chlorophyll value of a tea leaves, they can directly upload the leaf in the system, and that system will directly tell you what are the values present inside the leaf. And actually I have bought that project from a sponsor I have bought, and it is sponsored by ICT. They have given me seven last for that one from that rupees only I have bought those two type of devices that means bad device I have bought and I have developed this product as a final product, which I'm going to submit to ICT in the month of February, still that project is running in the month of February that project I am going to give to the ICT people they're going to use they're going to post it in their own server. So this is the product what I have developed this it's already live to heroku dot app.com. Okay, so now finally the last one is in plant pathology. So in plant pathology something related to the plant devices. So in plant devices actually what we can do we can directly tell that what are the diseases present in the leaf or not. So previously, see what in pharma they doesn't know anything about, they don't know anything about the actually the problem. You can directly say what what are the different type of diseases are present for that one product I have developed that is the product and the kokos dot it's already in live, I can show you the kokos dot in. So, this is a live product actually in that product if someone is. This is a joint product collaboration of production of some engineer agricultural university and department of CSC GMT Guwahati if someone is load one images are coconut coconut leaf inside that system that that system will tell directly what are the diseases present in the in the coconut. So that type of product what I have developed actually it's possible with the help of AI technology. Okay, so this is the interfaces that Android app related to the same technology what I have shown the kokos dot in. So that is funded by actually the coconut development. They have given me so based on that one, we have developed that product and it's already had it's going to be handed to the coconut development by the month of December. So this is all about that today's presentation and thank you all. Thank you for the interruption the power cut here in our university. Just wait a few minutes. Hello. Yes. Sorry, we had a massive power failure here in our floor. So, all the net was disconnected. So, I think. Hello. Hello. Sorry for the inconvenience we had some kind of power failure here, due to which we were not able to connect it. So, yeah, yeah. Thank you. Thank you for such an interesting talk. I'm sure most of the participants have benefited from your lecture, and we are very very sorry for the inconvenience. And now I would like to request Dr. Tappasita to give the photo. Thanks. Thank you so much. On behalf of the University, I, Dr. Tappasita would like to take the honor to offer the formal photo. Thanks. At first, I'd like to offer my thanks to our honorable person for his constant support and guidance. He has always been a source of inspiration and he always encourages us in all our endeavors to organize proceedings. I would also like to thank our resource persons for today's webinar, Dr. Udpal Parvon and Dr. Deep Deshwari for their informative talk on various applications of artificial intelligence, and in which areas of AI research is going on. I would also like to thank all the esteemed faculty members and officials of the University participants who have attended the webinar to make it a successful event. I would also like to thank all the Dr. Navankur Padhak and IT Cell of the University for extending the technical support. I would also like to offer my thanks to Dr. Sanjibara for his cooperation in this webinar. Last but not the least, I would like to thank Dr. Suthiswabhavali for coordinating and smooth conduct of this event. Thank you. Hello. So, thank you everyone for your participation in this webinar. We hope to meet you again soon on some other platform. And happy puja to everyone. Thank you.