Inspiration
This was mainly inspired from a personal problem one of us always faced when picking movies to watch and another one of us who was never happy of his tinder date. 2 problems, 1 solution
What it does
We decided to combine movies and tinder. People who like similar movies are matched together and can be put to watch that movie together either online or in person. This way they can find dates and enjoy a great movie.
How we built it
Most of us were really new to programming and so this is built completely in python. We used a library called kivy to make the UI and we used requests to communicate with the IMDb API.
Challenges we ran into
Since this was the first time for us building a full app from scratch, we faced issues with workflow in a team. We did not know how to divide the work well, how to make good commits and work in a git branch with a team. We also faced issued with API authentication but those were solved with the help of internet and mentors.
Accomplishments that we're proud of
- Successfully integrating an API
- First time working in GIT as a team
- Having a working app be pushed out
- Using a new library ## What we learned Learned how backend communicates with front end and how different they are. A major learning was also that in a team you can accomplish a lot of tasks if you divide work well. ## What's next for Tinder with movies This app can also be extended with the use twillio and can be used for sending a list of movies that a person seems to like to them. It can also help out with finding cinemas nearby which have these movies and requesting tickets from them. This app can do really well with AI learning models. We used a simple method to learn the basics of how preference would work but with Machine learning this can be improved a lot.
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