Heart Health App

Heart Health is a comprehensive MERN (MongoDB, Express.js, React.js, Node.js) application integrated with AI/ML capabilities to predict heart disease risk and provide personalized health recommendations.

Features

1. Heart Disease Prediction

Utilizes machine learning algorithms to assess the risk of heart disease based on user-input health data.

2. Dashboard

A user-friendly interface to view health statistics, predictions, and recommendations at a glance.

3. Additional Assessment Forms

• Health Assessment Forms: Allows users to input their heart data to follow up with recommendations.

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• Self-Assessment Form: Allows users to input their health data for heart disease risk prediction.

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• Medical Report Analysis: Upload and analyze medical reports for insights and recommendations.

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4. Find Nearby Cardiologists

Locate and connect with cardiologists in your area for professional medical advice and treatment.

5. AI-Powered Recommendations

Leveraging Google's Gemini AI to provide:

• Personalized diet plans
• Tailored exercise routines
• Lifestyle modification suggestions

6. Medical Chatbot

An AI-driven chatbot powered by Google's Gemini to answer user queries related to heart health and general medical concerns.

Technology Stack

• Frontend: React.js
• Backend: Node.js, Express.js
• Database: MongoDB
• AI/ML: Custom machine learning models for heart disease prediction. (Logistic Regression and RandomForestClassifer)
• AI Integration: Google's Gemini AI for personalized recommendations and chatbot functionality

Setup Instructions

To set up the project locally, follow these steps:

1. Clone the Repository
   Clone the project using:

   git clone https://github.com/SrikarVeluvali/HeartHealth.git

2. Navigate to the Data Folder
   Go to the data folder in the local repository:

   cd HeartHealth/data

3. Run the Jupyter Notebooks
   Execute the two notebook files in the data folder. This will generate two joblib files.

4. Move Joblib Files
   Paste the generated joblib files into the app folder.

5. Create Environment Variables
   Create .env files in both the client and server folders.

6. Add Environment Variables
   Add the following variables in both .env files:

   GEMINI_API=your_gemini_api_key_here
   MONGO_DB_URL=your_mongodb_url_here
   

7. Update Flask App
   In the Flask app, replace the MONGO_DB_URL and GEMINI_API with the values from your .env files.

8. Run the Application
   Open three terminal windows:

   • In the first terminal, run the Flask server:

     flask run

   • In the second terminal, run the Express server:

     npm run server

   • In the third terminal, run the React application:

     npm start

Now you're good to go! You can now access the Heart Health App.