We were inspired by the recent trends of apps making it easier for people to swipe on things they want.
Our app utilizes an AI/ML Model to rate a user against other users based on a similarity score using cosine functions. We then return that score and store it in a hash map that we use to show the user profiles based on who is most similar to the current user. The user can then choose to like or dislike and if the other user liked them as well, it's a match!
We ran into only challenges. Every piece of code was an issue. We solved them all in the end and were able to complete our MVP (Minimum viable product)
We are proud to be able to use a backend database system for our stack and being able to store information was cool to do.
We learned that building products and apps are hard especially when it's a little bit complex.
The next thing for Roomiez would be to actually build a product people can use. At its current state, it just fetches and stores information from the database and has little functionality.
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