ML integrated app and online forums that recommend things to users every day.
What it does
It recommends restaurants accroding to users' locations, cuisine preferences and our algorithm to recommend new restaurants.
How we built it
- Build multiple types of machine learning models that recommend restaurants.
- Utilize firebase database.
- Deploys on our server.
- Create front-end user interface.
Challenges we ran into
It is hard to buiild communication protocols between machine learning models and server and between server and front-end.
Accomplishments that I'm proud of
Successfully build an ML integrated App that supports restaurant recommendations, recommendation updates, social grouping and chatting.
What we learned
Much about recommendation algorithm, much on industrial level database organization.
What's next for Go Eat
Improve our ML algorithms, make the firebase database more organized.
Try It out
django, firebase, flutter, jupyter-notebook