Andris Enins 91cd18aec6 feat: initial implementation — all 35 requirements across phases 1-3
Backend (Spring Boot 3.2 / Java 21 / PostgreSQL):
- JWT auth with BCrypt password hashing
- User profile + Mifflin-St Jeor BMR calculator
- Food search + barcode via OpenFoodFacts API with local cache
- Meal CRUD with user data isolation and ownership checks
- AI photo analysis (OpenAI Vision) with confidence intervals
- AI correction feedback loop for personalisation
- Flyway DB migrations + RFC-7807 error responses

Mobile (React Native / TypeScript):
- Full navigation stack (Auth → Tabs → Home stack)
- Design tokens (WCAG 2.2 AA colours, 8px grid, 48px touch targets)
- 10 screens: Login, Register, Home, Search, Camera, AI Result, Edit Meal,
  Daily Details, History, Profile
- Confidence-aware calorie display (kcal ± range)
- Repeat last meal shortcut + macro tracking

Docs:
- docs/PLAN-AND-REQUIREMENTS.md
- docs/traceability.csv (35 requirements, all Implemented)
2026-05-18 21:56:13 +03:00

Calorie Counter

AI-powered calorie tracking app — Spring Boot backend + React Native mobile.

Architecture

Mobile (React Native + TypeScript)
        │  REST API (JWT)
Backend (Spring Boot 3.2 / Java 21)
        │
  ┌─────────────────────────────────┐
  │ PostgreSQL          Flyway      │
  │ OpenFoodFacts API   (food DB)   │
  │ OpenAI Vision API   (AI meals)  │
  └─────────────────────────────────┘

Features

  • Manual food search via OpenFoodFacts
  • Barcode scan → auto-fill nutrition
  • Photo meal logging with AI detection (OpenAI Vision)
  • Confidence-aware calories: 500 kcal ± 80 kcal (85% confidence)
  • Daily calorie dashboard + macro tracking
  • BMR-based personalised calorie targets (Mifflin-St Jeor)
  • AI correction feedback loop → improves suggestions over time
  • Repeat last meal one-tap shortcut

Structure

backend/     Spring Boot REST API
mobile/      React Native app
docs/        Requirements, traceability matrix
idea/        Original product research & wireframes

Getting Started

Backend

cd backend

# Required environment variables
export DB_URL=jdbc:postgresql://localhost:5432/caloriecounter
export DB_USERNAME=caloriecounter
export DB_PASSWORD=<your-db-password>
export JWT_SECRET=<256-bit-secret>
export OPENAI_API_KEY=<your-openai-key>

mvn spring-boot:run

Mobile

cd mobile
npm install
npx react-native run-ios    # or run-android

Requirements & Traceability

See docs/PLAN-AND-REQUIREMENTS.md and docs/traceability.csv.

35 requirements tracked across 3 phases — all implemented.

Security

  • Passwords: BCrypt cost 12
  • JWT: HS256, 1hr expiry, per-request user existence check
  • All secrets via environment variables — nothing hardcoded
  • Input validation on all endpoints (Jakarta Validation)
  • User data isolation enforced at service layer
Description
AI-powered calorie tracking app — Spring Boot backend + React Native mobile. Hybrid food logging: manual search, barcode scan, photo AI analysis with confidence-aware calorie display.
Readme 286 KiB
Languages
Java 56.1%
TypeScript 42.8%
Dockerfile 1.1%