🏥 Next-Gen Digi-Health Platform

📌 Project Overview

Next-Gen Digi-Health is a full-stack digital healthcare prototype that integrates AI-powered health assistance, physiotherapy guidance, e-pharmacy services, and insurance claim management into a single unified platform. The project demonstrates how modern web technologies and AI can simplify healthcare access and workflows.

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🎯 Prototype Objective

To design and demonstrate an integrated digital healthcare ecosystem that provides AI-based health guidance, supports patient recovery through physiotherapy demos, enables online medicine ordering, and streamlines insurance claim tracking.

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💡 One-Line Value Proposition

A unified digital healthcare platform combining AI health guidance, physiotherapy support, e-pharmacy services, and insurance claims in one seamless experience.

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🧩 Core Features

• User authentication (login & registration)
• AI health chatbot using local LLM
• E-pharmacy with cart and checkout flow
• Physiotherapy exercise demo videos
• Insurance claim submission and timeline tracking
• Dashboard-based navigation
• MongoDB-backed data storage

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🛠️ Technology Stack

Frontend

• HTML5
• CSS3 (Glassmorphism, responsive UI)
• JavaScript (Vanilla)

Backend

• Python (Flask)
• Flask-Bcrypt
• Flask Sessions

Database

• MongoDB Atlas

AI

• Ollama (Phi model)
• Prompt-based response generation (RAG-style)

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📁 Project Structure

Next_gen_digi_health/ │ ├── backend/ │ ├── app.py │ └── ai_chatbot/ │ ├── ollama_client.py │ ├── rag_engine.py │ └── prompts.py │ ├── templates/ │ ├── index.html │ ├── register.html │ ├── welcome.html │ ├── chatbot.html │ ├── physio.html │ └── insurance.html │ ├── static/ │ ├── css/ │ ├── js/ │ ├── images/ │ └── videos/ │ └── README.md

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✅ Success Criteria

Metric 1: Coverage (target: all core modules available, observed: all modules implemented)
Metric 2: Usability (target: smooth end-to-end user flow, observed: flows completed successfully)
Metric 3: Responsiveness (target: ≤15s chatbot response, observed: ~8–12s response time)

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🧪 Real vs Simulated Components

Real Components

• User authentication and session handling
• Dashboard navigation
• E-pharmacy cart and order storage
• MongoDB data persistence
• Local AI chatbot responses
• Physiotherapy video playback
• Insurance claim timeline UI

Simulated Components

• Medical diagnosis accuracy
• Insurance claim approval logic
• Payment gateway processing
• Real hospital or insurer integrations
• Advanced clinical decision-making

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⚠️ Disclaimer

This prototype provides general health guidance only and does not replace professional medical advice. Some components are intentionally simulated to demonstrate system behavior.

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🚀 How to Run the Project

1. Install dependencies: pip install flask flask-bcrypt pymongo certifi requests

2. Start Ollama and load a model: ollama run phi

3. Run the Flask server: python app.py

4. Open in browser: http://127.0.0.1:5000

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🔮 Future Enhancements

• Real insurance backend integration
• Advanced medical RAG knowledge base
• AI-generated physiotherapy videos
• Role-based dashboards
• Production deployment

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👨‍💻 Author

Next-Gen Digi-Health
Prototype developed for academic and hackathon demonstration purposes.