Inspiration
Wanted to use Google APIs and work on one of the challenges (Medic)
Used open source project (MIT License) for base UI: https://github.com/kriuz/flutter_snapchat
What it does
Users can take picture of the food they are going to eat. The food is recognized using the Firebase Vision ML kit. The food is then stored to a database that allows the user to track the amount of calories they have eaten throughout the day.
How we built it
Used Android Studio with Flutter framework. Integrated various Firebase APIs.
Challenges we ran into
ML API. For some reason, the ML API would cause build errors.
Accomplishments that we're proud of
Getting the ML API to work. Getting the database API to work. The usage of Version Control. The flow of the program.
What we learned
We learned about mobile application development, database management, event handling, and machine learning.
What's next for NutriSnap
Data visualization. Daily totals. Macro Totals. Cloud based authentication. Cloud based data storage. Improved UI.
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