
This project, initiated on June 1, 2021, aims to create an affordable gaze tracking solution using an ordinary webcam. The first version, written in 2020, employed a basic algorithm mapping facial movements to screen coordinates, but it proved unsuitable for broad use due to its complexity and user discomfort.

To enhance the user experience, I transitioned to a neural network-based approach. This solution, powered by [MediaPipe](https://developers.google.com/mediapipe) for face detection, feeds images of the user's eyes into a neural network to track eye movements. This method reduces the need for head movement, offering a more natural interaction.

Key Advantages:
- Improved User Convenience: Tracks pupil movement for more intuitive control.
- Lightweight Neural Model: Ensures efficiency even on low-cost computers.
- Reduced Head Movement: Minimizes physical strain during use.

Future plans include a large-scale data collection to develop a universal model and further fine-tuned for individual users.

[GitHub Repository](https://github.com/GreenWizard2015/Alternative-input).

[Initial Version (YouTube Video)](https://youtu.be/oKqpPAhnBPQ)

[Neural Network Solution (YouTube Video)](https://youtu.be/FE1eGgjzFq8).

Alternative Input: Gaze Tracking with Ordinary Webcam


During this project, I had learn the basics of Laravel and Redux (in ReactJS) while simultaneously exploring the capabilities of AI and its potential to help people with disabilities. The focus was on using AI assistants (ChatGPT and Copilot) to aid in the development process. In contrast to other similar projects, special attention was paid to code maintainability and testability. The final version of the project included over 30 tests for the backend and over 50 tests for the frontend. The goal was not only to create an application but also to ensure that the code could be easily maintained and extended in the future.

Effective collaboration between humans and AI was also a key consideration in the project. While AI can augment our abilities and help us overcome limitations, it cannot replace the need for expert knowledge and experience. The project highlighted the importance of balancing AI's potential with human expertise to achieve the best outcomes.

Overall, the project demonstrated the potential for AI to revolutionize the way people with disabilities work and interact with the world around them. While there are still challenges to overcome, the benefits of using AI to augment our abilities are significant and undeniable. With continued exploration and development, AI has the potential to transform the lives of people with disabilities and improve accessibility for all.

[GitHub repository](https://github.com/GreenWizard2015/User-Country-Analytics/)

User Country Analytics


This project aims to create a feeding robot to assist individuals with mobility impairments in feeding themselves independently. The project will use a robotic manipulator and a webcam to develop a system that can recognize markers, reconstruct the robot's position in space, move the manipulator, and recognize the mouth and surroundings. The project is important as it offers a cost-effective and practical solution to a problem faced by many individuals with mobility impairments, improving their quality of life and mental health. Additionally, the project contributes to the development of robotics technology in healthcare.

The project is temporarily on hold due to its complexity, as it involves advanced topics such as computer vision, reinforcement learning, and more. Only the first stage of the project has been completed. However, the project was still valuable as it provided experience in object detection and localization using AI. Also, it was my very first step into the application of robotics technology and AI in healthcare.

[GitHub project page](https://github.com/GreenWizard2015/feeding-robot)

[Video](https://www.youtube.com/watch?v=qfuOcrQkL3o)

Green Wizard

Projects