Maatri.AI – Multilingual AI Health Assistant (7-Language MVP) A 16-week development plan for a cross-platform maternal health AI app supporting seven Indian languages. 1. Objective Build a bilingual-to-multilingual (7-language) Flutter app (Android + iOS) that helps expecting mothers through AI-powered chat and voice interaction. The app should provide reminders, health tips, and danger-sign alerts using verified medical data from NHM/WHO. Languages: Hindi, English, Marathi, Bengali, Bhojpuri, Tamil, Telugu. 2. Core Features 1. Chatbot (text + voice) – Conversational AI in 7 languages powered by GPT-4-mini / Claude Haiku. 2. Reminders Engine – Weekly pregnancy care notifications via Firebase scheduler. 3. Danger-Sign Detection – AI + rule-based alerts for red-flag symptoms. 4. Voice Interface – Bhashini + Whisper API for speech-to-text and text-to-speech. 5. Translation Layer – IndicTrans2 + custom Bhojpuri dictionary for accurate local content. 6. Knowledge Base – NHM/WHO pregnancy data localized into all supported languages. 7. Admin Dashboard – Web panel to view users, queries, and alerts. 3. Tech Stack Frontend: Flutter 3.22+ (single codebase for Android + iOS) Backend: Flask / FastAPI + Firebase / Supabase Database: Firestore (multi-language fields) AI Core: GPT-4-mini / Claude Haiku via LangChain Voice: Whisper / Bhashini APIs (speech-to-text, TTS) Translation: IndicTrans2 (Marathi, Bengali, Tamil, Telugu) + Bhojpuri fallback Reminders: Firebase Cloud Functions Hosting: Render / AWS Free Tier Analytics: Firebase Analytics / Mixpanel 4. Budget (₹3 Lakhs Total) Component Description Flutter Cross-Platform App Android + iOS UI, onboarding, notifications Backend + Scheduler Flask + Firebase backend setup AI Engine GPT-4-mini / Claude integration via LangChain Voice & TTS Whisper + Bhashini + Google TTS setup Translation System IndicTrans2 for 7 languages + custom Bhojpuri layer Knowledge Base NHM/WHO data localization Cloud Infra + Testing Firebase, Apple certs, API usage Localization QA Voice and text testing for all languages 5. Developer Instructions - Deliver one Flutter codebase working for both Android and iOS. - Use GPT-4-mini or Claude Haiku for safe, educational answers only. - Integrate Bhashini or Whisper for multilingual voice I/O. - Maintain Firebase-based reminder system for notifications. - Add disclaimer: “This app provides educational information only. Consult your doctor for medical diagnosis.” - Deliver GitHub repo + documentation + 2-minute demo video. - Deploy on Play Store and iOS TestFlight for pilot testing.