Nutrito

Food ML Analysis App that allows users to scan packaged or open food items to instantly analyze health risks and receive personalized alternative recommendations. The app integrates machine learning with Retrieval-Augmented Generation (RAG) to interpret ingredient data, leverages the Gemini API for intelligent analysis, and uses Firebase for secure authentication and data management. Used by 100+ students.

Creator & Backend EngineerJan 2023 — May 2023
FlutterPythonTypeScriptFirebase
Users: 100+ students
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Case Study

  • Built a Flutter front-end for fast barcode/ingredient scanning and UI-friendly results.
  • Implemented a Retrieval-Augmented Generation (RAG) pipeline with a Python backend to interpret ingredient lists and return health-risk insights.
  • Integrated the Gemini API for contextual ML analysis and Firebase for secure auth & user data storage (used by 100+ students).
  • Optimized the dataset pre-processing and retrieval layer to reduce inference latency for mobile users.

License

MIT