🤱 Sakhi Saathi - AI Pregnancy Care Platform

An AI-powered, multilingual pregnancy care platform designed to bridge healthcare gaps in rural communities through intelligent assistance and local language support.

Overview

This project addresses critical healthcare challenges faced by pregnant women in rural areas, including language barriers, limited healthcare access, and lack of personalized guidance. The platform leverages local AI processing to ensure complete privacy while providing culturally sensitive, multilingual pregnancy care assistance.

Key Features

AI-Powered Healthcare Assistant

• Local AI Processing: Utilizes Ollama llama3.2 for complete data privacy
• Intelligent Memory System: Maintains comprehensive pregnancy journey records
• Emergency Detection: Automated identification and flagging of concerning symptoms

Multilingual Support

• Multi-language Interface: Support for 10+ regional languages including Hindi, Gujarati, and Marathi
• Voice Recognition: Native language speech processing capabilities
• Cultural Adaptation: Localized health recommendations and advice

Role-Based Access Control

• Patient Portal: Health tracking, AI guidance, and voice logging
• ASHA Worker Dashboard: Patient management and emergency alert system
• Administrative Panel: System oversight and comprehensive analytics

Core Functionality

• Voice-Based Health Logging: Daily health updates through speech recognition
• Smart Notification System: AI-generated personalized reminders and alerts
• Secure Authentication: OTP-based phone verification system
• Document Management: Health certificate upload and verification

Technical Architecture

Component	Technology Stack
Frontend	React 19, Vite, Tailwind CSS, i18next
Backend	Node.js, Express.js, MongoDB
AI Service	Python, Flask, Ollama (llama3.2)
Authentication	JWT, OTP verification via Twilio

Installation

Prerequisites

• Node.js (v16 or higher)
• Python 3.8+
• MongoDB
• Ollama

Setup Instructions

1. Clone the repository

git clone https://github.com/SHUBHAM2775/NFC4_DeepThink.git
cd NFC4_DeepThink

2. Install Ollama and AI model

ollama pull llama3.2

3. Backend configuration

cd Backend
npm install
# Configure .env file with MongoDB URI and Twilio credentials

4. Frontend setup

cd ../Frontend
npm install

5. AI service setup

cd ../ai_assistant
pip install -r requirements.txt

Running the Application

Execute the provided startup script:

./start-all-services.bat

Or start services manually:

# Start MongoDB
mongod

# Start backend service (Terminal 1)
cd Backend && npm run dev

# Start frontend service (Terminal 2)  
cd Frontend && npm run dev

# Start AI service (Terminal 3)
cd ai_assistant && python app.py

Access the application at http://localhost:5173

System Architecture

The platform consists of three main components:

• React Frontend: User interface with multilingual support
• Node.js Backend: API services and database management
• Python AI Service: Local AI processing and natural language understanding

Screenshots

Feature	Description
Landing Page	Main platform interface
AI Assistant	Interactive chat system
Voice Logging	Speech-to-text health recording
Dashboard	Patient management interface

Future Development

• Mobile Application: React Native implementation for enhanced accessibility
• IoT Integration: Wearable device connectivity for continuous monitoring
• Telemedicine Features: Video consultation capabilities
• Government System Integration: Connection with national health ministry platforms
• Blockchain Implementation: Secure and immutable health record management

Team

• Shreya Shuka - GitHub
• Raseeca Kashelkar - GitHub
• Om Mhaske - GitHub
• Shubham Upadhyay - GitHub

License

This project is licensed under the MIT License - see the LICENSE file for details.

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Developed during Need For Code 4.0 Hackathon - Empowering Rural Healthcare Through Technology