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https://github.com/firaskahlaoui/health-ai-insights
An AI-powered platform that collects, processes, and analyzes health data to provide personalized health insights and recommendations. The platform will help individuals monitor their health metrics, identify potential health issues early, and suggest lifestyle changes.
https://github.com/firaskahlaoui/health-ai-insights
healthcare mongodb nodejs pyhton reactjs redux
Last synced: about 5 hours ago
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An AI-powered platform that collects, processes, and analyzes health data to provide personalized health insights and recommendations. The platform will help individuals monitor their health metrics, identify potential health issues early, and suggest lifestyle changes.
- Host: GitHub
- URL: https://github.com/firaskahlaoui/health-ai-insights
- Owner: FirasKahlaoui
- License: mit
- Created: 2024-07-01T21:51:20.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-07-11T18:13:43.000Z (4 months ago)
- Last Synced: 2024-07-12T02:35:47.857Z (4 months ago)
- Topics: healthcare, mongodb, nodejs, pyhton, reactjs, redux
- Language: JavaScript
- Homepage:
- Size: 3.59 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# HealthAI Insights
HealthAI Insights is an AI-powered platform that collects, processes, and analyzes health data to provide personalized health insights and recommendations. The platform helps individuals monitor their health metrics, identify potential health issues early, and suggest lifestyle changes.
## Project Structure
- **frontend**: React-based frontend application.
- **backend**: Node.js/Express.js API server.
- **ai**: AI and machine learning models and scripts.
- **data_processing**: Data collection and processing scripts.
- **docker**: Docker configurations.
## Getting Started
### Prerequisites
- Node.js
- Docker
- MongoDB
- Python
### Installation
1. Clone the repository:
```sh
git clone
cd HealthAI-Insights
```
2. Navigate to the frontend directory and install dependencies:
```sh
cd frontend
npm install
```
3. Navigate to the backend directory and install dependencies:
```sh
cd backend
npm install
```
4. Navigate to the ai and data_processing directories and install dependencies:
```sh
cd ai
pip install -r requirements.txt
```
```sh
cd data_processing
pip install -r requirements.txt
```
5. Start the frontend and backend servers:
```sh
cd frontend
npm start
```
```sh
cd backend
npm start
```
## License
- This project is licensed under the MIT License.