 So here is the E-proctor team which have attempted a very complicated thing as we believe and we are mentored by Avinash avathe sir Thank you IIT Bombay and a special thanks to Nithinayur sir Saurabh Verma sir and Rajnikanj Jaingir sir for their extensive support to host the site and Helping us in all the technological aspects These are our team members. There are nine people He's already he's Deepanshu She's Kalyani His Anmol, Anish, Hardik and Shubham One of our friend due to health problems cannot attend the presentation and he is shravan due to health problems So introduction to the E-proctor. We are attempting at the online examination in which there won't be any manual proctor So they here arises the question who does the authentication whether the student is genuine or not So we have the solution that is face recognition, which does the Authentication of the student also we have a fallback mechanism Which doesn't allow the student to switch between the tabs that will be Demonstrated in the demo after a few point of time The need and purpose basically the trusted assessments is the present You can say the challenge in online courses and the trusted assessment is what which gives a reliable certificate And our aim is to reduce the human intervention to reduce the time to reduce the cost everything and to make it as user-friendly as possible Security features as you can see Authentication is done by face recognition beyond a limit the face recognition becomes suspicious And it increases the frequency at which it takes the images and it will send to the server for manual verification Next optimum control of the device in the sense as I've said earlier if you're giving a exam You can open the chrome you can search for answers and you can mark them that mechanism is completely prevented if you go out of that tab you if you go out of the tab there will be a Display that your test will be entered so you cannot Switch between the tabs while you're giving the exam and our software is non-intrusive It doesn't interrupt the user at any point of time It will just give the color change option Which is also a part of instructions which he has to carefully read at the start of the exam Next the metrics and the technologies key technologies used in our face recognition The total size of the project is 11.3 MB and the lines of code are 30,852 The languages used are these languages HTML CSS etc Database we have used simple database mysql and the libraries used for face recognition are open CV digital image processing and for as the device data is stored on students device We have used AES encryption technique and we are sending simple JSON objects to the server Test plan and our application is unit tested Separately for all the features which have stated earlier next an end-to-end demo was conducted with the respected dignitaries who have sat here and also most of the student of most of our intern friends and they have given the feedback forms Through the Google record. We really appreciate that Making this unachievable task possible. We have faced a lot of challenges So human incognito tendency the user can do like this like this So there should be a mechanism in which we should tell the user to keep your face, right? You have been observed so there was a color change when color change when you're giving the exam our Software should be reliable for the Institute and also scary for the users It should fulfill both the tasks at the same time by passing the other applications when our application runs on your machine As I've stated earlier, you cannot open any of the applications to prevent cheating What we have learned we have learned a lot in the journey of this eight weeks Different face recognition algorithms and the face recognition algorithm We have used is a combination of PCA plus LPP principal component analysis plus locality preservation projection an AS encryption technique and We have been completely exposed to the software development life cycle, which is evolutionary prototype comparison between traditional e proctor and Normal e proctor the main difference is that there is no human intervention in our e proctor and the traditional e proctor has a human intervention