https://github.com/vinayakvthayil/health_chatbot

An AI-powered healthcare support system utilizing a three-model architecture for accurate, safe, and research-backed health assistance.
https://github.com/vinayakvthayil/health_chatbot

ai final-year-project healthcare phase-1 python rag streamlit twilio

Last synced: 14 days ago
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An AI-powered healthcare support system utilizing a three-model architecture for accurate, safe, and research-backed health assistance.

• Host: GitHub
• URL: https://github.com/vinayakvthayil/health_chatbot
• Owner: vinayakvthayil
• Created: 2025-01-01T18:10:20.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2025-01-30T07:13:36.000Z (15 days ago)
• Last Synced: 2025-01-30T08:20:50.633Z (15 days ago)
• Topics: ai, final-year-project, healthcare, phase-1, python, rag, streamlit, twilio
• Language: Python
• Homepage:
• Size: 47.9 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Health Chatbot: AI-Powered Personalized Health Assistant

### Final Year Project Phase - 1

An AI-powered healthcare support system utilizing a three-model architecture for accurate, safe, and research-backed health assistance.

## Features

- Intelligent health assistance with research-backed responses

- Multi-platform support (Web & WhatsApp)

- Real-time health tips and recommendations

- Secure human handoff capabilities

- Vector database for efficient knowledge management

## Technical Architecture

**AI Models**

- Gemini Flash (Query Analysis)

  - Temperature: 0.3

  - Response time: 1-2s

  - Fast query decomposition

- Perplexity Sonar (Research)

  - Context window: 128k tokens

  - Real-time data retrieval

- Gemini Pro (Response)

  - Temperature: 0.7

  - Enhanced prompting

## Tech Stack

- Frontend: Streamlit

- Backend: Flask with RESTful API

- Database: ChromaDB

- Integration: Twilio for WhatsApp

- AI: Google Gemini and Perplexity Sonar

## System Components

**Frontend Features**

- Interactive chat interface

- Health tips display

- Assessment interface

- Feedback system

**Backend Features**

- Vector database integration

- Knowledge base management

- Chat history tracking

- Multi-layer safety system

## Safety Features

- Content filtering

- Intent detection

- Source credibility checks

- Medical disclaimer injection

- Warning generation