Build a full-stack, production-ready AI-powered mobile and web application called "Bharat Smart Assistant" designed for Indian users (both rural and urban). The app should solve real-world problems like job discovery, government scheme eligibility, financial guidance, agriculture support, and student career guidance. ⚡ CORE FEATURES: 1. AI Personal Assistant (Multilingual - Hindi, Marathi, English) - Voice + Chat based interaction - Uses LLM + speech-to-text + text-to-speech - Understands local slang and regional queries 2. Smart Government Scheme Finder - User inputs profile → AI suggests eligible schemes - Auto form filling + document checklist - Real-time updates of new schemes 3. AI Job & Skill Recommendation Engine - Suggest jobs based on skills + location - Suggest courses (free + paid) - Resume builder + ATS optimization 4. Agriculture AI Module (Farmer Focus) - Crop disease detection using image upload - Weather-based crop suggestions - Market price prediction using ML 5. Financial AI Advisor - Expense tracking (auto categorize via SMS parsing) - Investment suggestions (low-risk for beginners) - Credit score insights 6. Offline + Low Internet Mode - Works in low bandwidth rural areas - Data sync when online ⚡ ADVANCED FEATURES: - AI Agent system (autonomous task execution) - Real-time API integration (jobs, weather, govt data) - Recommendation engine using ML models - Personalization using user behavior tracking - Blockchain-based document verification (optional) - Data privacy + encryption (India compliance) ⚡ TECH STACK: Frontend: - Flutter (Mobile App) - Next.js (Web Dashboard) Backend: - Node.js + Express - Python (AI/ML microservices) Database: - Firebase / MongoDB - Redis (caching) AI: - OpenAI / LLM APIs - Custom ML models (scikit-learn / TensorFlow) Cloud: - AWS / GCP deployment - Docker + CI/CD pipeline ⚡ UI/UX: - Clean, modern, minimal UI - Dark/Light mode - Voice-first experience ⚡ DELIVERABLES: - Full source code structure - API architecture diagram - Database schema - UI screens (Flutter widgets) - AI workflow explanation - Deployment guide Make it scalable to millions of users. Focus on real-world usability, not just demo features.
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