 So, good morning everyone. How are you? So, okay, I'll be speaking about Suzy AI. So, you're intelligent open source personal assistant, right? So, first of all, let's have a quick introduction. I'll introduce myself. Okay. So, I'm Arundhati and I'm an undergraduate student in computer science and engineering at Indian Institute of Technology, Patna. So, I've been an active contributor in FOS-Asia. I've worked as a student developer in GSOC-18 and since then I've been connected with FOS-Asia and have been actively involved in mentoring the students in GCI and many other competitions, also co-read, which I have not mentioned here. So, you can connect with me on GitHub, on Twitter and you can even mail me. So, okay. So, first let us quickly understand what is Suzy AI. So, this is a project about which we all have been talking throughout the summit, right? So, it's an intelligent open source personal assistant capable of chat and voice interactions and so much of text there, right? But in simple words, it's just like you are bored, okay? So, you can tell Suzy, hey Suzy, please tell me a joke and that's all. Enjoy. So, you can interact with Suzy and now the question is why Suzy AI? So, as you can see, so we need a free assistant and we all know that nowadays we don't need to type, we don't need to make a lot of effort. All we want is simply interact and you know search. So, as a community, we all need to find solutions to our shared struggles. We need to collaborate. So, we know that it is very expensive to develop own solutions. So, we as a community can develop solutions that can solve our shared struggles, okay? So, Suzy AI is highly customizable and more transparent. So, we all have been talking about privacy. We don't want our data to go anywhere. So, it's an open source personal assistant and you can easily customize it and make use of it. Okay. So, this is the basic architecture. So, I'll quickly go through it. This is the Suzy server and it listens through various clients like Android, iOS, web client. So, the user has to basically make a query and then Suzy responds, Suzy server responds through the various clients and you get your answer. So, because of the time constraint maybe I won't be able to describe it very. That's fine.