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https://github.com/srikarveluvali/hearthealth

Heart Health is an innovative MERN-based application that combines AI/ML technologies to predict heart disease risk and promote cardiovascular wellness. It features a comprehensive dashboard, assessment tools, and a medical chatbot powered by Google's Gemini AI.
https://github.com/srikarveluvali/hearthealth

expressjs generative-ai machine-learning mongodb nodejs reactjs

Last synced: 2 months ago
JSON representation

Host: GitHub
URL: https://github.com/srikarveluvali/hearthealth
Owner: SrikarVeluvali
Created: 2024-03-04T16:28:05.000Z (11 months ago)
Default Branch: main
Last Pushed: 2024-11-11T18:16:02.000Z (2 months ago)
Last Synced: 2024-11-11T19:24:51.901Z (2 months ago)
Topics: expressjs, generative-ai, machine-learning, mongodb, nodejs, reactjs
Language: Jupyter Notebook
Homepage:
Size: 3.98 MB
Stars: 2
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

# 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.
![image](https://github.com/user-attachments/assets/a1b539b0-4ade-4d5b-9c5b-e9a84d3c5c4f)

### 3. Additional Assessment Forms
- **Health Assessment Forms**: Allows users to input their heart data to follow up with recommendations.
- ![image](https://github.com/user-attachments/assets/842ef18e-df2b-4389-974e-734a7e583f50)
- ![image](https://github.com/user-attachments/assets/d9acea32-81c4-4518-9bd4-938680059180)
- ![image](https://github.com/user-attachments/assets/54c2249e-f909-46b8-8705-f77cbaa9a292)

- **Self-Assessment Form**: Allows users to input their health data for heart disease risk prediction.
- ![image](https://github.com/user-attachments/assets/45a17d7b-aa31-481c-9813-15f0633893de)
- ![image](https://github.com/user-attachments/assets/97d33068-8f2d-4f74-945c-96fc9250f896)

- **Medical Report Analysis**: Upload and analyze medical reports for insights and recommendations.
- ![image](https://github.com/user-attachments/assets/1e0cb980-9c05-4799-933c-2c4e3dbdddfe)

### 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.
![image](https://github.com/user-attachments/assets/835811a5-1dc5-45b9-8679-03919f15da72)

## 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:
```bash
git clone https://github.com/SrikarVeluvali/HeartHealth.git
```

2. **Navigate to the Data Folder**
Go to the `data` folder in the local repository:
```bash
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:
```plaintext
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:
```bash
flask run
```
- In the second terminal, run the Express server:
```bash
npm run server
```
- In the third terminal, run the React application:
```bash
npm start
```

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