Live Demo: food-ai-ten.vercel.app

FoodAI is a comprehensive nutrition analysis platform that provides AI-powered insights, detailed nutritional facts, and personalized health recommendations for any food item. Built with modern technologies and featuring a subscription-based model with tiered access to premium features.

• AI-Powered Food Analysis: Get comprehensive insights on pros, cons, and health benefits
• Detailed Nutritional Facts: Complete macronutrient and micronutrient breakdown
• Search History: Track and revisit your nutrition exploration journey
• Responsive Design: Seamless experience across desktop and mobile devices
• Dark/Light Mode: Toggle between themes for comfortable viewing

• Unlimited Searches: No monthly limits on food analysis
• Organ-Specific Health Impact: Detailed analysis of how foods affect different organs
• Cooking Tips & Meal Suggestions: Personalized recommendations for food preparation
• Food Pairing Recommendations: Discover optimal food combinations
• Better Alternatives: Get suggestions for healthier substitutes

• Meal Plan Generator: Create personalized nutrition plans
• Export Functionality: Download insights as PDF/CSV
• API Access: Integrate FoodAI data into your applications
• Advanced Analytics: Comprehensive nutrition tracking dashboard

• Framework: Next.js 15.4.4 with App Router
• Language: TypeScript 5.0
• Styling: Tailwind CSS with custom components
• UI Components: Radix UI primitives
• Authentication: NextAuth.js v5
• State Management: React Hooks (useState, useEffect)

• Runtime: Node.js
• Database: PostgreSQL with Prisma ORM
• Authentication: NextAuth.js with multiple providers
• Payment Processing: Razorpay integration
• AI Integration: Google Gemini API
• Nutrition Data: Nutritionix API

• Deployment: Vercel (99% uptime)
• Database Hosting: PostgreSQL (Cloud)
• Storage: Prisma with migration system
• Email: Resend for transactional emails

• Node.js 18+ and npm/yarn
• PostgreSQL database
• Google Gemini API key
• Nutritionix API credentials
• Razorpay account (for payments)

1. Clone the repository

   git clone https://github.com/Ashraful-Fuqha/FoodAI.git
   cd FoodAI

2. Install dependencies

   npm install

3. Set up environment variables Create a .env.local file in the root directory:

   # Database
   PRISMA_DATABASE_URL="postgresql://..."
   
   # NextAuth
   NEXTAUTH_SECRET="your-nextauth-secret"
   NEXTAUTH_URL="http://localhost:3000"
   
   # Google Gemini AI
   GEMINI_API_KEY="your-gemini-api-key"
   
   # Nutritionix API
   NUTRITIONIX_APP_ID="your-app-id"
   NUTRITIONIX_API_KEY="your-api-key"
   
   # Razorpay
   RAZORPAY_KEY_ID="your-key-id"
   RAZORPAY_KEY_SECRET="your-key-secret"
   
   # Email (Resend)
   RESEND_API_KEY="your-resend-key"

4. Set up the database

   npx prisma generate
   npx prisma db push

5. Run the development server

   npm run dev

6. Open http://localhost:3000 in your browser

The application uses a comprehensive PostgreSQL schema with the following key models:

• User: Authentication and profile management
• Subscription: Plan management (FREE/PRO/PREMIUM)
• Payment: Razorpay transaction records
• Usage: Monthly search tracking
• SearchHistory: User food search history
• Account/Session: NextAuth.js authentication tables

• Multiple Auth Providers: Google, GitHub, Email/Password
• Secure Session Management: NextAuth.js with JWT
• Email Verification: Resend integration for account verification
• Password Hashing: bcryptjs for secure password storage
• Route Protection: Middleware-based authentication checks

• Free: 10 monthly searches, basic features
• Pro (₹49/month): Unlimited searches, advanced insights
• Premium (₹99/month): Everything + meal plans, export, API access

• Razorpay: Secure payment processing
• Webhook Verification: Cryptographic signature validation
• Automatic Plan Management: Usage limits and feature access control

// Google Gemini API integration for food analysis
const insights = await getFoodAIInsights(foodName);
// Returns: pros, cons, health benefits, organ impact, cooking tips

// Automatic usage increment on successful search
await incrementUsage(userId);
// Enforces plan limits and prevents overuse

// Real-time subscription status checking
const subscription = await getUserSubscription(userId);
// Controls feature access based on plan tier

• Mobile-First Approach: Optimized for all screen sizes
• Touch-Friendly Interface: Easy navigation on mobile devices
• Progressive Web App Ready: Fast loading and offline capabilities
• Dark Mode Support: Automatic theme switching

• GET /api/auth/* - Authentication endpoints
• POST /api/auth/signin - User sign in

• GET /api/subscription/status - Get user subscription details
• POST /api/subscription/cancel - Cancel current subscription
• POST /api/razorpay/create-order - Create payment order
• POST /api/razorpay/verify-payment - Verify payment success
• DELETE /api/history/[id] - Delete search history entry

The application is deployed on Vercel with the following configuration:

{
  "build": "npx prisma generate && npx next build",
  "start": "next start"
}

• Database migrations run automatically on build
• Environment variables configured in Vercel dashboard
• CDN optimization for static assets

• TypeScript: Full type safety throughout the application
• Error Handling: Comprehensive error boundaries and try-catch blocks
• Loading States: User-friendly loading indicators
• Form Validation: Client-side and server-side validation

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

• Google Gemini AI for powerful food analysis
• Nutritionix for comprehensive nutrition database
• Razorpay for seamless payment processing
• Vercel for reliable hosting platform
• Next.js Team for the amazing framework

Mjafarsadiq D - mjafarsadiqdharwad@gmail.com

Project Link: https://github.com/Ashraful-Fuqha/FoodAI

Live Demo: https://food-ai-ten.vercel.app

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