 Okay. Thank you very much. I have started. Okay. Hi everyone. My name is Santiago, a PhD at the State University of Navarra in Spain, which has worked in the project they use of NLD and DLT to enable the vitalization of the telecom running agreement. And first of all, I want to send to the private mentors, Ahmed, Mohamed, and Noredin. Now, I want to start with an overview of the running agreement concept. Okay. Running operation ensure business continuity and ubiquitous system access to the end customer across various technologies including the new technologies like 5G and IoT. In addition, running agreement addresses the technical and commercial components necessary to enable the service to running customer so that it constitute an essential part of the business, you know, managing issues such as management of interoperational shares. And therefore, conducting a dynamic and transparent running agreement drafting process ensures adequate monetization and advantage for telco companies. So, the necessity of the prior comes from problems detected in the running agreement drafting process, sorry, which include, first, the running agreement negotiation is manual, slow, and untrustworthy. And in addition, the ECME approach for World Sale running initiative is, you know, is generalist in terms of negotiation and drafting of the running agreement. So, it lacks of standardization in terms of the drafting and negotiation. So, there is a necessity to establish a framework that provide capabilities such as provide the fine grained methodology that deties the running agreement drafting process in addition to promote the transfer and negotiation process between mobile network operators. And finally, to ensure the trustability in the running agreement drafting process. These properties is ensured by blockchain, but right now we integrate blockchain technology with other technologies such as natural language processing can cover these capabilities. For this reason, the two main project objectives are, first of all, build a library that will capture the different variation and variables that construct a telecom running agreement. And the second one is to build a proof of concept based on a set of smart contracts that will automate the process of drafting and negotiation. The reference architecture that we present include, you know, not only participant entities, but also the functionality that they perform through the application lifecycle. First, the entity that participates in the running agreement are composed by two mobile networks operator and the GCMA as administrator. There are functions that they perform in common, such as the maintenance of the hyperlabeled power induction network and the participation in the consensus. But particularly, the mobile network operator negotiates and drafts the running agreement among themselves, maintaining the privacy of the information and using the NLP engine to create a template which be used as part of the drafting process. Finally, the GCMA is in charge of the registration of the mobile network operator, the network monitoring, and the audit and accountability of the running agreement conducted between two mobile networks operators. The priority implementation is based on a set of microservice using Docker infrastructure. The same tree entity that we mentioned has been established for the running agreement drafting. I mean two mobile networks operator and the GCMA as a central authority. It should be noted how GCMA is the administrator and the maintainer of a set of services, including the front end, the NLP engine, the Kibana, Rafaana, Prometheus, and Swago. Finally, one of the most remarkable points of this project is the integration with other open source projects that belong to the hyperlayer mentoring program. Specifically, the project analyzing hyperlayer value led their transaction and logs using elastic search and Kibana. The project derivatives include, first of all, a series of medium articles explaining the main project vision, main concepts, and the proposed design approach. The second one is the NLP model that extracts the main feature of the telecom agreement template as a set of variation and variables. The next deliverable is the shame code that automates and map the business process of the agreement drafting and negotiation. The next is the architectural design document of the system. The next one is a simple user interface as proof of concept that will show the step of the agreement drafting. And finally, to publish an academic conference or journal paper with the main finding of the project. As you can see, in the part of the screenshot, all the development has been successfully committed, accepted for the publication of the JavaScript library in NPM, which had to be included as part of the future work. The recommendation for future work are, first of all, to build a model based on one open source library such as Spacey, drafting library JavaScript package and publish it as NPM package. The full API monitoring with from refuse and Rafa. The contextualization of the traceability of the running agreement negotiation between two mobile network operators through the visualization tool. The definition and establishment of an audit and accountability layer for the system. And finally, to ensure the information privacy between two mobile networks operator using the privates data collection of hyperlabel for reduction. Right now, we have a quick demonstration for the system. Okay, first of all, you can see the transaction committing one, the shame code was installed and instantiated. Right now is one intent to access for the user. But it is necessary first that you see me registered administrator and you see me registered user of mobile networks operator. Right now, the user one can register the mobile network operator. The transaction right now is committed into the ledger and can be verified. Next, the user to register the mobile network, the second mobile operator. And again, the transaction is committed into the ledger. Next, the running agreement is registered. Now, the mobile network operators available can be listed. User one needs to confirm the running agreement proposal. The transaction also is confirmed. Next, an article is proposed by the mobile network operator that includes variables and also variations. The transaction is submitted into the ledger. And the article, as you can see, is added into the pipeline. The mobile network operator can attempt, but it cannot modify the same article proposal. The other user is able to modify. Right now is at some changes. As you can see, the status of the article is updated. Now, the user number one can accept the proposition. The transaction is committed into the ledger. The same user can propose another article as part of the drafting process, sorry. The article is included in the pipeline. Again, it cannot accept its own change. So the user team proposed to reach one agreement. In this case, the user to accept the two changes proposed by user one. And now, user two is able to propose to reach an agreement. This one. Okay. They send the proposal. And now, the user one can accept this proposal. For sure, if it agrees with all conditions. And finally, the transaction has been committed to the blockchain. Okay. Okay. Let me continue. No. Wait. Okay. The insights gained around the project is, first of all, the Raman agreement principles was studied and acknowledged. The second one was the knowledge in the new field for me, that is the natural language processing. The third one is to improve my ability as researcher. In addition, I gained the ability to write properly million articles. In addition, I gained the ability to integrate different programming language technologies and paradigms such as, you know, Docker, Golang, Node.js, Python, React.js, NLB, Hyperlayer, Fabulous.org for sure. From a few, Grafana, Elasticsearch. All using the continuous integration and continuous delivery. In addition, I work according to tile schedules. And final, I think that is very important for me, the integration with other Hyperlayer mentoring program. In this case, they are analyzing Hyperlayer, Fabulous, let their transaction unlocks using Elasticsearch and Kibana. At this point, I want to thank to my mentors, the knowledge and the skill game are thanks to them. Thank you, Santiago, for the presentation and the great demo to see things live. It is so great. And also just, you know, how you leveraged actually previous Hyperledger mentorship project results as well. So that is great to see the connection there. I know your mentor, Ahmad, he is still here. Thank you for staying this long. Do you have anything to comment or add? We also have Noridine. Yes, hi. Can you hear me at all? Yes. This is Noridine. I think Ahmad is away or busy. So my name is Noridine Sadawi. I'm a senior lecturer at the University of London, I specialize in machine learning and deep learning in that area. I was really happy to be one of Santiago's mentors. He's done a really fantastic job. He's learned a lot. He's worked to tile schedules. He was busy with his PhD, which he passed successfully. So he's officially a doctor now, which is great. I'd like to thank the Hyperledger community for making these opportunities available. Really great job to see people from all over the world using blockchain technology for different purposes. So I'd like to congratulate Santiago and all other students and mentees for their impressive work. Santiago specifically because I was mentoring him. He learned a lot in a short period of time. We were all down and we had some doubts and stuff, but he made it happen. Putting all the platforms together, especially like you mentioned Min, when he reused some existing stuff from previous projects, this is one of the points I loved about what he's done. So I'd like to again thank him, thank you all and say well done everyone. Thank you. I would add a big plus one to what you said. It's just so great to see mentees from all over the world, mentors from all over the world participating in this program and just see the blockchain use cases in so many different areas. So it's just so fantastic to see this.