Inspiration
We want to reimagine how social media connects us
What it does
It allows you to host events in an area where people can go to. Users can sign and show interest. Based on what you say you like as well as previous things you have gone to, it recommends you events using natural language processing to find similar events.
How we built it
We used react ts and tailwind css on the front end, for our database we used supabase and for our backend work for language processing we used python.
Challenges we ran into
It was difficult for us to categorise the events and help users find things they may be interested in
Accomplishments that we're proud of
Building a complete , functional website. Using AI/ML to categorise the categories. Building a full stack app including the use of relational databases. As well as other social features such as profile pictures and profiles.
What we learned
We learnt a lot about front end and backend development as well using git.
What's next for Linkup
Built With
- fastapi
- python
- react
- supabase
- tailwind
- typescript
Log in or sign up for Devpost to join the conversation.