Favorite Number Detector

Have Fun Detecting Faces and Sharing Favorite Numbers with Python!

This blog post dives into a cool Python project that combines real-time face detection with a touch of personality. Let's explore how to build a "Favorite Number Detector" application using OpenCV!

Project Overview

This project utilizes the power of OpenCV, a popular library for computer vision tasks, to achieve two main things:

1. Real-time Face Detection:  The program utilizes your webcam to capture video and identify faces within the frame.

2. Favorite Number Fun:  A random favorite number pops up on the screen alongside a question prompting you to share your own favorite number.

This interactive project creates a lighthearted way to engage with facial recognition while sparking a fun conversation about numbers.

Key Features

Here's a breakdown of the project's functionalities:

• Real-time Face Detection: Thanks to OpenCV, the program can identify faces in a live video stream from your webcam.

• Random Favorite Number Display:  A random favorite number appears on the screen, adding a touch of surprise.

• Interactive Question Display:  The program asks a question about your own favorite number, encouraging interaction.

Getting Started: Fire Up Your Favorite Number Detector

If you're ready to build and run this project, follow these steps:

Prerequisites:

• Python 3.x: Ensure you have Python 3 installed on your system. You can check by running python3 --version in your terminal.

• OpenCV: This library is essential for the face detection functionality. You can install it using pip install opencv-python.

• PyYAML: This library is used for configuration purposes. Install it with pip install pyyaml.

Installation and Usage:

1. Grab the Code: Download the source code or clone the repository using git clone https://github.com/sairam-penjarla/instareels.git.

2. Install Dependencies: Navigate to the project directory and install the required libraries using pip install -r requirements.txt.

3. Run the Script: Make sure your webcam is connected and then run the program with python main.py.

4. Interact and Quit: The application should display the live video feed with face detection and the favorite number prompt. Press q on your keyboard to exit the program.

Customization:

Want to personalize the experience? The project utilizes a config.yaml file for configuration. Modify this file to adjust various options and parameters.

This blog post provides a starting point for this exciting Python project.  Feel free to explore the code further and personalize it to your liking.  For a more in-depth look at the code and functionalities, check out the provided Youtube video

link: https://www.youtube.com/watch?v=6YsbFoDmlUY

Happy Coding and Happy Number Sharing!