face detection Streamlit

Face Detection AI

A simple web application built with Streamlit to detect faces in an uploaded image. This app is CPU-friendly and uses the face_recognition library.

!Face Detection App Screenshot (Suggestion: Add a screenshot of your app here)

Features

• Upload an image (JPG, JPEG, PNG).
• Display the uploaded image.
• Detect faces in the image upon clicking a button.
• Display the image with bounding boxes around detected faces.
• Show a count of the detected faces.

Project Structure

ai_projectss/
├── app.py          # Main Streamlit application
├── logic.py        # Core face detection logic
├── ui.py           # Streamlit UI components
├── requirements.txt # Python dependencies
└── README.md       # This file

Setup

1. Clone the repository:

   git clone <your-repository-url>
   cd ai_projectss

2. Create and activate a virtual environment:

   python -m venv env
   # On Windows
   .\env\Scripts\activate
   # On macOS/Linux
   source env/bin/activate

3. Install the dependencies: This project requires dlib which can have a complex installation. It's recommended to install it first.

   pip install -r requirements.txt

How to Run

Once the setup is complete, run the Streamlit app with the following command:

streamlit run app.py

This will open the application in your default web browser.