Age, Gender & Facial Landmark Detection Web App

A web-based application built with Flask, OpenCV, and MediaPipe to detect age, gender, and facial landmarks from images or live camera feed.

Features

• Realtime Camera Detection

  • Uses your webcam directly in the browser.
  • Performs live detection of age, gender, and facial landmarks.

• Image Upload Detection

  • Upload an image from your device.
  • The app processes the image and returns the detection result.

• Modern UI

  • Styled with Tailwind CSS via CDN.
  • Responsive and minimal interface.

Preview

Tech Stack

• Backend: Python, Flask
• Computer Vision: OpenCV, MediaPipe
• ML Models: Pre-trained Age & Gender detection models
• Frontend: HTML, Tailwind CSS

Installation

1. Clone Repository

git clone https://github.com/gbennnn/facial-landmarks-detection.git
cd facial-landmarks-detection

2. Create Virtual Environment

python -m venv venv
source venv/bin/activate   # Linux / Mac
venv\Scripts\activate      # Windows

3. Install Dependencies

pip install -r requirements.txt

4. Prepare Models

Download the pre-trained models and place them in the model/ folder:

• deploy.prototxt
• res10_300x300_ssd_iter_140000.caffemodel
• age_deploy.prototxt
• age_net.caffemodel
• gender_deploy.prototxt
• gender_net.caffemodel

Usage

Run the Flask App

python app.py

Open your browser and go to:

http://127.0.0.1:5000/

License

This project is licensed under the MIT License - see the LICENSE file for details.