Health & Nutrition Intelligence App | AI powered nutrition

A feature-rich fitness tracking application with ML-powered nutrition analysis. It studies a user's macro and micronutrient gaps and suggests personalized meals and recipes to fill them, backed by the Open Food Facts database and a user-built custom food database.

Most nutrition trackers tell users what they ate but not what to do about it. The goal was an app that closes that loop. Turning raw tracking data into concrete, personalized guidance on what to eat next, without burying the user in spreadsheets.

Technical Description:
The app analyzes logged intake against macro and micronutrient targets and uses ML to surface meals and recipes that close the gaps. Users can scan barcodes and food labels, pull entries from Open Food Facts, and build their own food and recipe database. FL Chart powers the nutrition visualizations, with Firebase and Hive handling data and offline persistence and Riverpod managing state.

Key Features:
- ML-powered nutrition analysis
- Meal and recipe suggestions
- Meal and recipe creation
- User custom food database
- Open Food Facts database
- Nutrition tracking
- Food label, barcode scanning