Projects / Computer Science / Computer Science project 36

Hand Gesture Control Using MediaPipe

Computer Vision / HCIMedium

Approx. component budget: Rs. 0 - 1,500

Objective

Make a natural, low-latency control system and test its accuracy for different users and lighting.

A program that uses a webcam to read hand gestures and control the volume, slides or the mouse without touching the computer.

Landmark detection, gesture classification, real-time video loops, and designing usable interfaces.

Python, MediaPipe, OpenCV, PyAutoGUI, scikit-learn or a small neural network.

Built and tested Hand Gesture Control Using MediaPipe; objective: make a natural, low-latency control system and test its accuracy for different users and lighting.
Measured and analysed gesture classification accuracy for 8 gestures and latency in milliseconds; wrote the report and presented the results in a viva. Add your own numbers: [x].

Replace [x] with your own measured results. Write only what you really did.

The short guide for this project is prepared when you ask for it. Message us on WhatsApp and we will prepare it and tell you when it is ready.

Payment details are shared in the chat. We send the PDF on WhatsApp after your payment is confirmed.

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