Contact person: Business Client

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Location: Mumbai, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"[login to view URL] – 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." (client-provided description)