Hi! I'm Farhan, a second year Hon. Computer Science (Co-op) student at the University of Waterloo.
I'm fun to work with, will make you laugh. Some of my passions include playing football (like...alot) and playing the piano
Currently working as a freshman recruit in the CAV team. Projects include the Adaptive Cruise Control with Sensor Fusion, which uses MATLAB to simulate scenarios with traffic close to the car resulting in the speed to be adjusted accordingly. To know more about UWAFT, visit uwaft.ca
Being involved in the Model United Nations (MUN) curcuit since an early 2015, I played a pioneer role in the embedding MUN culture as a significant part of the Extra-Curricular-Activities in Academic Institutions nation-wide.
Took upon the role of Secretary General of Sunnydale Model United Nations 2019 , one of the largest school level conferences in Bangladesh with over 500 participants, leading an organising committee of 52 students. The conference was also the grandest event in the history of my institution.
Winning at NewHacks2020, Klar is a Web Application that uses Microsoft's Face API to help wedding photographers filter and sort through their wedding photos based on emotions that the people in the photo exhibit. This could be happiness, sadness, or (in the future), love and surprise. Photographers will also be able to tag a face and then get all the images of that person from their collection. This solution will save any photographer hours of time and effort.
To find out more about Klar, visit devpost.com/software/Klar
A Web application that helps people come together through their mutual taste in musical arts. Not only does music suggest a lot about one's personality but it also helps people bond over their similar interests in songs.
It uses the Spotify API to get data from the user, such as the songs in their playlists. It then initiates an algorithm to start matchmaking that finds other users with similar interests and presents your top matches. The front-end of the application has been built with ReactJS, CSS and HTML5. The back-end has been built upon NodeJS and deals with the Spotify API enabling functionality, such as user authentication. The algorithm analyses the user's playlist and compares it with other users to produces rankings of the matches in terms of match percentage.
To find out more about SpotiFinder, visit devpost.com/software/spotifinder