eeshannarula29 / friendify

The onset of COVID-19 has made it extremely hard for people to socialize and make new friends. Friendify is an app used to make friends in these hard times when it is so difficult to do so. Friendify takes into note the interests of the user and finds people with common interests.

Hi there

Hi, I am Eeshan Narula, a student at the University of Toronto studying CS and Stats. I am interested in AI and Machine Learning, and love to create projects and contribute. I am a dedicated individual who loves what he is doing 😀.

i am also an open-source enthusiast and maintainer. i learned a lot from the open-source community and i love how collaboration and knowledge sharing happened through open-source.

💬 ask me about anything, i am happy to help : email :)

📈 my github stats

friendify's Issues

Requirements

Currently, Pyerbase is included as a requirement and which is never used

Search Complexity

Currently, the app is using merge sort to do the sorting, but the runtime of quicksort is much faster so it can be replaced.

Sorting

Currently, the sorting algorithm only takes into account the similarity between the query and user iDs. It would be better if the algorithm also takes into account the number of command friends between the user searching all the users in the result.

So I want to purpose a change to the key of the search to also include the number of common friends or alternatively similarity score between the user and the users in the result of the query.