FitGPT

AI-powered nutrition assistant that scans meal and fridge photos, tracks macros against a daily budget, and suggests recipes based on what's actually in your kitchen.

Features

• Meal Scanner — photograph a meal and get calories, protein, carbs, fat, and sodium via Gemini vision
• Stock Auditor — photograph your fridge/pantry to auto-populate your inventory
• Kitchen Hub — manage pantry inventory manually
• Dashboard — daily macro tracking against your budget, with sodium alerts
• Insights — trends over time
• Community — social feed
• Profile — set your daily calorie and macro budget

Tech stack

React 19 · TypeScript · Vite · Tailwind CSS · Google Gemini API (@google/generative-ai) · lucide-react

Run locally

Prerequisites: Node.js

1. Install dependencies: npm install
2. Copy .env.example to .env.local and fill in the values:
   • VITE_GEMINI_API_KEY — your Gemini API key
   • VITE_APP_PASSCODE — passcode for the primary login gate
   • VITE_SECONDARY_USERNAME / VITE_SECONDARY_PASSWORD — credentials for the secondary login
3. Run the app: npm run dev

This app uses a simple client-side passcode gate for private access — it's a personal/demo project, not a production auth system. Since it's client-side, anyone who inspects the built app's JS bundle can still recover these values; treat them as a light deterrent, not real security.