2020 was a rather depressing year, and with shelter in place order on various parts of the world, connecting with other like minded folks proved to be difficult
What it does
Creates users by inquiring about their hobbies and interests and an associated score from 1 to 10 of how much a person enjoy said activity. It then attempts to create an edge weighted digraph of users and their hobbies to run graph analysis algorithms such as Dijkstra Algorithm to find the shortest paths of interest from user A to B, or strong connectivity of a certain hobby. Using this information, user can have a general idea of their cohesion with the community. It also uses Covid and weather APIs to advice user about social distancing measures needed in their area and what activities is best suited for a certain time.
How we built it
Challenges we ran into
We did not have enough time to implement the features that we wanted such as graph visualization and path finding. Our team members were all over the globe (Algeria, France, India) and we ran into different timezone issue more often than prefer.
Accomplishments that we're proud of
We successfully incorporated FireStore and FireAuth into our app for user authentication
What we learned
What's next for Internest
We will strive to implement the remaining features that were unfortunately unrealized due to our time constraints.