https://github.com/krishbharadwaj5678/gestura
An advanced AI-powered webpage for real-time detection of face gestures, landmarks, age, and gender. Built for precision and designed for intuitive use, Gestura brings facial recognition technology to your fingertips.
https://github.com/krishbharadwaj5678/gestura
ai face-recognition html js landmark-detection reactjs
Last synced: 8 months ago
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An advanced AI-powered webpage for real-time detection of face gestures, landmarks, age, and gender. Built for precision and designed for intuitive use, Gestura brings facial recognition technology to your fingertips.
- Host: GitHub
- URL: https://github.com/krishbharadwaj5678/gestura
- Owner: KrishBharadwaj5678
- Created: 2025-01-18T06:29:21.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-02-24T05:29:19.000Z (8 months ago)
- Last Synced: 2025-02-24T06:32:30.719Z (8 months ago)
- Topics: ai, face-recognition, html, js, landmark-detection, reactjs
- Language: JavaScript
- Homepage: https://gestura.onrender.com/
- Size: 26.7 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
Awesome Lists containing this project
README
# Gestura
Gestura is a cutting-edge, AI-powered webpage designed for real-time facial recognition. It can accurately detect face gestures, landmarks, age, and gender, making it a versatile tool for various applications.
## Features
- **Face Gesture Detection**: Analyze facial expressions and movements with precision.
- **Landmark Identification**: Identify key facial points for detailed analysis.
- **Age Estimation**: Predict age with high accuracy.
- **Gender Detection**: Determine gender using advanced algorithms.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/KrishBharadwaj5678/Gestura.git
```
2. Navigate to the project directory:
```bash
cd gestura
```
3. Install dependencies:
```bash
npm install
```
4. Start the development server:
```bash
npm start
```
5. Open your browser and navigate to `http://localhost:3000`.
## Usage
1. Open the webpage in your browser.
2. Allow camera permissions for real-time detection.
3. Observe the analysis for face gestures, landmarks, age, and gender.
## Contributing
Contributions are welcome! Follow these steps:
1. Fork the repository.
2. Create a new branch for your feature or bugfix:
```bash
git checkout -b feature-name
```
3. Commit your changes and push to your branch:
```bash
git push origin feature-name
```
4. Open a Pull Request.