🌟 AI Vision Lab: Live Object Detection

🚀 Overview

AI Vision Lab is a cutting-edge web application that demonstrates the power of real-time object detection using YOLOv8. Experience the future of computer vision as our system identifies and tracks objects in live video streams with impressive accuracy and speed.

🔗 Try the Live Demo

✨ Features

• 🎥 Real-time object detection in live video streams
• 🧠 Powered by state-of-the-art YOLOv8 model
• 📊 Dynamic display of detection statistics
• 💡 Interactive AI insights and fun facts
• 🌓 Sleek, modern dark mode UI
• 📱 Fully responsive design for all devices

🛠️ Technologies Used

• Backend and ML processing
• Web framework
• Frontend structure
• Styling
• Interactive elements
• Object detection model

🚀 Getting Started

Prerequisites

• Python 3.8+
• pip
• Virtual environment (recommended)

Installation

1. Clone the repository:

   git clone https://github.com/Silicon-Sorceress-Tawfia/AI-Vision-Lab.git
   cd AI-Vision-Lab

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install required packages:

   pip install -r requirements.txt

4. Run the application:

   python app.py

5. Open your browser and navigate to http://localhost:5000

📸 Screenshots

Desktop View

Mobile View

🤝 Contributing

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📜 License

Distributed under the MIT License. See LICENSE for more information.

📞 Contact

Tawfia Yeasmin - @LinkedIn

Project Link: https://github.com/Silicon-Sorceress-Tawfia/AI-Vision-Lab

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Made with ❤️ by Tawfia Yeasmin