Restaurant Plataform

# RESTAURANT DIRECTORY PWA - INNOVATIVE FOOD DISCOVERY PLATFORM ## **PROJECT OVERVIEW** Seeking experienced developers to build a **Progressive Web App (PWA)** that revolutionizes restaurant discovery. Think "Google Maps for restaurants" + "meal cost simulator" for group dining planning. ## **UNIQUE VALUE PROPOSITION** **Core Innovation: TICKET SIMULATOR** - Users can add dishes from any restaurant to a virtual cart - Calculate total cost + split bill between friends - Share planned meals via WhatsApp: "Dinner at El Rincón: €15/person" - Save meal simulations for future reference - **No actual ordering** - pure planning and discovery tool ## **TECHNICAL STACK REQUIRED** - **Frontend**: [login to view URL] (React) + PWA configuration - **Backend**: Node.js + PostgreSQL - **AI Integration**: OpenAI GPT-4o (menu processing) + GPT-3.5 (translations) - **Maps**: Google Maps API (minimal usage) + OpenStreetMap - **Payments**: Stripe (subscription billing) - **Cache**: Redis + CDN (Cloudflare) - **Hosting**: AWS or equivalent ## **CORE FUNCTIONALITIES** ### **1. Advanced Search Engine** ```javascript // Dynamic search with real-time results - Search restaurants AND specific dishes - 15+ filter categories (allergens, diet, price, distance) - Geolocation-based proximity sorting - Complex filtering: "gluten-free pasta near me" ``` ### **2. Ticket Simulator (Main Feature)** ```javascript // Virtual shopping cart for meal planning - Add dishes from restaurant menus - Real-time cost calculation + tip calculator - Split bill functionality (divide by X people) - Anti-fraud system (IP tracking, session limits) - Social sharing with formatted WhatsApp messages ``` ### **3. Restaurant Management System** ```javascript // AI-powered menu management - GPT-4o Vision: PDF/image → structured dish data - Auto-extract: names, prices, allergens, descriptions - Multi-language support (Spanish/English) - Digital menu creation and management ``` ### **4. User Experience** - **Guest mode**: Full browsing without registration - **Registered users**: Save favorites, ticket history - **Mobile-first PWA**: Installable, offline-capable - **Real-time filters**: Update results as user types ## **PLATFORM STRUCTURE** ### **Public PWA (Phase 1 - MVP)** - Dynamic search and filtering system - Restaurant profiles with digital menus - Ticket simulator with social sharing - User registration and profile management ### **Admin Panel** - Restaurant/menu CRUD operations - AI menu upload processing - User management and analytics - Subscription billing oversight ### **Restaurant Panel (Phase 2)** - Self-service menu management - Analytics dashboard (views, simulations, conversions) - Subscription plan management - Promotions and events (V2) ## **TECHNICAL CHALLENGES** ### **Performance Requirements** - **< 3 seconds** initial load time - **< 500ms** API responses - **Aggressive caching** strategy (Redis + CDN) - **Real-time search** with autocomplete ### **AI Integration** - Process menu images/PDFs with GPT-4o Vision - Extract structured data (dishes, prices, allergens) - Generate upselling suggestions (cached, not real-time) - Handle errors and manual corrections ### **Scalability & SEO** - Built for **50,000+ users** and **5,000+ restaurants** - **SEO optimization** for local restaurant searches - **Schema markup** for Google rich snippets - **Cache warming** and intelligent invalidation ## **BUSINESS MODEL** - **Restaurant subscriptions**: €19/month premium plans - **Freemium model**: 3 months free, then paid features - **Target**: 500+ restaurants in Sevilla (Spain) by year 1 ## **DELIVERABLES EXPECTED** ### **Technical** - Complete source code + documentation - API documentation (Swagger) - Unit tests (70% coverage) + E2E tests - Deployment scripts and CI/CD pipeline ### **Performance** - PWA with offline capabilities - Mobile-responsive design - SEO-optimized for local searches - Multi-language support system ## **PROJECT TIMELINE** - **MVP Development**: 3-4 months - **Methodology**: 2-week sprints with demos - **Post-launch**: 30-45 days support included ## **BUDGET RANGE** - **€8,000 - €15,000** (negotiable based on experience) - **Payment terms**: 30% upfront, 40% mid-project, 30% completion - **Bonus**: Guaranteed positive review/testimonial ## **IDEAL CANDIDATE** ### **Must Have Experience:** - **React/[login to view URL]** with PWA implementation - **Node.js + PostgreSQL** for scalable APIs - **OpenAI API integration** for AI processing - **Payment integration** (Stripe preferred) - **Caching strategies** (Redis, CDN optimization) ### **Bonus Points:** - **Restaurant/food industry** projects - **Geolocation and mapping** applications - **Real-time search** implementation - **Multi-language** applications - **SEO optimization** for local businesses ### **Communication Requirements:** - **English fluency** for technical discussions - **Timezone compatibility** with Europe (minimum 3h overlap) - **Agile methodology** experience - **Regular progress updates** and demos ## **SUCCESS METRICS** - **Functional MVP** with all core features - **< 3s load times** and smooth UX - **SEO ranking** for target keywords - **Scalable architecture** ready for growth ## **NEXT STEPS** **To apply, please provide:** 1. **Portfolio** with similar PWA/restaurant projects 2. **Timeline estimate** for MVP completion 3. **Technical questions** about requirements 4. **References** from previous clients **Ready to build the future of restaurant discovery? Let's discuss your approach to this exciting project!** --- *This is a well-funded project with clear requirements and realistic timeline. Serious developers only.*

ID del proyecto: 39609819