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VITAL SIGNS - AI-Powered Disease Diagnosis

🚀 Developed during a hackathon (Sept 2024), VITAL SIGNS is a MERN stack-based web application that leverages AI models to generate diagnostic reports on patient diseases.

📌 Features

✅ AI-powered disease detection with 97% accuracy

✅ Two AI models integrated to enhance diagnostic precision

✅ MERN Stack-based scalable web application

✅ FastAPI-based ML model deployment

✅ Handles 500+ medical images for AI training

🛠 Tech Stack

Frontend: React.js

Backend: Node.js, Express.js, FastAPI

Database: MongoDB Atlas

Machine Learning: TensorFlow.js, OpenCV, Python

Other: Progressive Web App (PWA), JavaScript

🚀 Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/yourusername/vital-signs.git
cd vital-signs

2️⃣ Install Dependencies

Frontend

cd frontend
npm install
npm run dev

Backend

cd backend
npm init -y
node index.js

3️⃣ Run the FastAPI ML Model

cd fastapi_backend
pip install -r requirements.txt
uvicorn main:app --reload

📄 Usage Guide

1️⃣ Upload a medical image (X-ray, CT scan).

2️⃣ The AI model processes the image and detects potential diseases.

3️⃣ Generates a detailed PDF report on the findings.

4️⃣ Doctors can review the report and provide additional insights.

About

VITAL SIGNS is a MERN stack-based web application that leverages AI models to generate diagnostic reports on patient diseases.

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