GestureGuy
Python
MediaPipe
OpenCV
React
Next.js

Built real-time hand gesture recognition using MediaPipe and OpenCV, featuring a responsive UI with 90% detection accuracy for touchless system control.
Project Goals
The main goal of this project was to explore the possibilities
of integrating modern web technologies
to solve a real-world problem. We focused on creating a seamless user experience, ensuring scalability, and maintaining a high level of code quality through best practices in frontend and backend development.
Challenges Faced
One of the biggest challenges was to ensure the application was performant
across all devices. We overcame this by implementing server-side rendering with Next.js and optimizing our static assets. Another challenge was managing state in a complex application, which we solved using React's context API combined with custom hooks for a clean and maintainable
architecture.
What I Learned
This project was a great learning experience
. I deepened my understanding of full-stack development, especially in building and deploying scalable applications with Vercel. I also improved my skills in creating responsive and accessible user interfaces with Tailwind CSS and modern UI principles.