Intelligent_Healthcare_System

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Intelligent_Healthcare_System

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Intelligent Healthcare System is an AI-powered platform that predicts diseases from symptoms, provides recovery plans, analyzes medical reports, suggests nearby hospitals, and supports teleconsultation with auto-generated meeting links.

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# 🏥 HealthCare AI - Your AI-Powered Health Assistant

https://www.loom.com/share/49cba8d0ff524b8bab0c62324a7b1d6a

HealthAI Assistant is a **full-stack, AI-powered healthcare ecosystem** designed to streamline early-stage patient care by combining **multimodal AI, predictive diagnostics, geospatial intelligence, and automated teleconsultation workflows** into a single production-grade platform.

This project demonstrates **advanced AI system design, full-stack orchestration, and real-world healthcare problem solving**.

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## ✨ Project Highlights
- Multimodal AI core (text + vision)
- Large Language Models for clinical reasoning
- Automated telemedicine & payment workflow
- Real-time hospital discovery using geospatial data
- End-to-end AI + backend + frontend integration

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## 🧠 Multimodal AI Core

### 1️⃣ Clinical Entity Extraction (Vision + Text)
- Implemented **Llama 4 Scout (17B Vision)** to process **unstructured medical PDFs, lab reports, and scanned documents**.
- The model reads and understands:
  - Lab values
  - Medical terminology
  - Diagnostic indicators
- Automatically extracts critical patient information from **visual and textual medical data**.

> This enables the system to *“read reports”* and *“see medical documents”* like a clinician.

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### 2️⃣ Predictive Diagnostics & Clinical Reasoning
- Integrated **Llama 3.3 (70B)** as the conversational and reasoning engine.
- Provides:
  - Symptom-based disease prediction
  - Personalized recovery and precaution plans
  - Context-aware medical guidance
- High-parameter architecture allows **nuanced medical reasoning**, outperforming smaller models in complex health scenarios.

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## 🏗️ System Architecture & Workflows

### 🔹 Backend & Orchestration
- Built using **Python + FastAPI**
- Handles:
  - Model inference
  - Workflow automation
  - API orchestration
  - Secure request handling

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### 🌍 Geospatial Intelligence (Care Discovery)
- Integrated **Leaflet.js** with **Overpass API**
- Uses live geolocation to:
  - Identify nearby hospitals
  - Display facilities on an interactive map
- Bridges the gap between **diagnosis and treatment access**.

---

### 💳 FinTech + Telemedicine Automation
Designed a **complete business logic loop**:

1. User receives AI-based diagnosis  
2. System generates **UPI QR code** for payment simulation  
3. After confirmation:
   - **Google Meet link** is dynamically created
   - Appointment details are auto-generated  
4. Confirmation is sent via **SMTP email automation**

> This workflow demonstrates understanding of **monetizable, real-world healthcare systems**.

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### 🧩 Advanced Prompt Engineering
- Designed structured, safety-aware prompts for:
  - Llama 3.3 (70B)
  - Llama 4 Scout (17B Vision)
- Focused on:
  - Clinical accuracy
  - Reduced hallucinations
  - High-stakes healthcare reliability

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### 🧑‍💻 Full-Stack Integration
- Backend: **Python, FastAPI**
- Frontend: **JavaScript, Leaflet.js**
- AI Models: **Llama 3.3 70B, Llama 4 Scout 17B Vision**
- APIs:
  - OpenAI / LLM APIs
  - Overpass API
  - Google Meet API
  - Google Translate
  - SMTP (Email Automation)

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## 🛠️ Technology Stack

**Backend**
- Python
- FastAPI

**AI / ML**
- Llama 3.3 (70B)
- Llama 4 Scout (17B Vision)
- Scikit-learn
- Pandas
- NumPy

**OCR & Document Processing**
- pdfplumber
- pdf2image
- pytesseract

**Frontend & Mapping**
- JavaScript
- Leaflet.js
- Overpass API

**Utilities & Services**
- OpenAI API
- Google Meet API
- SMTP
- qrcode
- uuid
- python-dotenv

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## 👥 Contributors
### 👤 Omar Shaikh  
**Role:** AI Engineer & Full Stack Developer  
- Multimodal AI and API Integration 
- Agentic Workflow Design   
- Chatbot Integration  
- Medical Report Analyzer Design   
- Backend & full-stack orchestration

📧 Email: shaikhomar264@gmail.com
🌐 GitHub: https://github.com/OS264

### 👤 Shoheb Amjad Attar  
**Role:** AI Engineer & System Architect  
- Multimodal AI integration  
- LLM-based clinical reasoning  
- System architecture design  
- Telemedicine workflow automation  
- Backend & full-stack orchestration

📧 Email: shohebattar428@gmail.com  
🌐 GitHub: https://github.com/shohebattar428

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## 📦 Project Resources
- ✅ Full Source Code  
- ✅ PPT Presentation  
- ✅ Project Report  
- ✅ Technical Documentation

📩 **For access:**  
Email: **shaikhomar264@gmail.com**

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⭐ If you find this project valuable, consider starring the repository!

Intelligent_Healthcare_System

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