Aim-Tracker

Aim-Tracker is an innovative game that utilizes cutting-edge AI technology to help individuals enhance their aim tracking skills. By accurately tracking eye movements, the AI algorithm provides valuable insights and personalized feedback to improve targeting abilities.

Features

• Advanced Eye-Tracking: The AI model tracks eye movements with exceptional accuracy, allowing players to analyze their aiming techniques and make measurable improvements.

• Personalized Feedback: Receive real-time, targeted feedback tailored to your specific aim tracking skills, helping you identify areas for improvement and enhance your overall performance.

• Progress Tracking: Keep track of your progress over time with detailed performance statistics and visualizations, allowing you to monitor your skill development and celebrate milestones.

• Engaging Gaming Experience: Enjoy an immersive gaming experience with captivating visuals and smooth gameplay, making practice sessions enjoyable and addictive.

Applications

The potential applications of Aim-Tracker extend beyond gaming:

• Sports Training: Athletes can utilize this technology to improve their hand-eye coordination and precision, enhancing their performance in sports like archery, shooting, and tennis.

• Military Training: Aim-Tracker can be incorporated into military simulations and training programs to enhance soldiers' marksmanship skills and increase their effectiveness in combat scenarios.

• Medical Rehabilitation: Eye-tracking technology combined with the AI model can assist in the rehabilitation process for individuals recovering from physical or neurological impairments, helping them regain fine motor control.

Tech Stack

Aim-Tracker is built using a variety of powerful technologies:

• HTML: Provides the structure and semantic markup of the web application.

• CSS: Stylesheets are used to enhance the visual appearance and layout of the game.

• Tailwind: A utility-first CSS framework that streamlines development and improves responsiveness.

• PyAutoGUI: Enables interaction between the AI model and the game by automating mouse movements based on eye-tracking data.

• MediaPipe: A comprehensive framework for building AI-powered applications, utilized in Aim-Tracker to extract eye-tracking information.

• OpenCV: Used for image processing tasks, such as detecting eyes and tracking movements.

• Django: A robust web framework that facilitates the development of the game's backend logic and handles data storage and retrieval.

• JavaScript: Enhances interactivity and enables dynamic functionality within the game.

Getting Started

To get started with Aim-Tracker:

1. Clone the repository from GitHub: Aim-Tracker Repository.

2. Install the necessary dependencies specified in the project's requirements.txt file.

3. Run the web application locally or deploy it to a web server of your choice.

For detailed installation and usage instructions, please refer to the project's README.md file on GitHub.

Live Demo

Experience Aim-Tracker firsthand by visiting our website: Aim-Tracker Website.

Contributing

We welcome contributions from the open-source community. If you'd like to contribute to Aim-Tracker, please follow the guidelines outlined in the project's CONTRIBUTING.md file.

License

Aim-Tracker is released under the MIT License. Please review the LICENSE file for more information.