🌱 Agrogya Samabadh: Nurturing Health with Predictive Heart Disease Analysis and Doctor-Patient Harmony 🩺

Author: Piyush Rai

Status: #OPEN_TO_WORK

Project Overview

Agrogya Samabadh is an innovative health platform that integrates technology and healthcare to offer predictive analysis of heart disease risk and foster seamless doctor-patient collaboration. In a world brimming with health challenges, this platform is dedicated to enhancing cardiovascular health and empowering individuals through predictive tools and resources.

🔗 View Live Project - Agrogya Samabadh

📂 Source Code

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Key Technologies

Stack	Technology
Frontend	React.js (#ReactJS 🌐)
Backend	Django (#Django 🛠️)
API	Flask (#FlaskAPI 🧪💡)
Database	MySQL (#MySQL 🗃️)

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🌐 Deployment

• Frontend: Vercel #Vercel 🚀
• Backend & Database: Render #Render 🌟

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Key Features

1. Predictive Heart Disease Analysis 📈💓

   Using advanced machine learning algorithms, our platform achieves an 86% accuracy rate in predicting cardiovascular disease risk, utilizing a dataset with over 7,000 entries. Learn more about the model in the "About" section.

2. Doctor-Patient Collaboration 🤝🩺

   Agrogya Samabadh bridges the gap between patients and healthcare providers, supporting seamless consultations, appointments, and health data sharing.

3. Doctor Blog Contributions 📝🔬

   Physicians can upload informative blogs on cardiovascular health, providing users with insights into prevention, wellness, and care strategies.

4. Patient Blog Viewing 👀📚

   Patients can access a curated collection of doctor-authored blogs, enhancing health literacy and empowering informed decision-making.

5. Secure User Authentication 🔒🔑

   Robust security mechanisms protect user data and privacy, ensuring peace of mind for all users.

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Flask API Integration

Our Flask API forms the foundation for predictive heart disease analysis by seamlessly linking machine learning models with the front and backend. This enables real-time analysis and cardiovascular risk prediction.

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Getting Started

Prerequisites

• Node.js
• Python 3
• MySQL
• Django
• Flask

Installation

1. Clone the repository:

   git clone https://github.com/username/agrogya-samabadh.git
   cd agrogya-samabadh

Installation

2. Backend Setup:

   cd backend
   # Install dependencies
   pip install -r requirements.txt
   # Migrate database
   python manage.py migrate
   # Run Django server
   python manage.py runserver

3. Frontend Setup:

   cd frontend
   # Install dependencies
   npm install
   # Run development server
   npm start

4. Flask API Setup:

   cd flask_api
   # Install dependencies
   pip install -r requirements.txt
   # Run Flask server
   flask run