Computer VisionStarterComputer visionHuman-computer interactionMediaPipeWebcam

AI Virtual Mouse: Hand-Gesture Cursor Control

Your project moves the real cursor with your index finger, clicks when you pinch and scrolls with two fingers, with a fail-safe so it can never trap the mouse. You can show, with measured numbers, how a One-Euro filter makes the cursor calm without making it lag, and how often each gesture is caught or misfires. A simulation mode means the demo works even when the webcam does not.

₹1,499 one-time

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AI virtual mouse kit demo: a replayed hand-landmark sequence, the cursor path on a mini screen with clicks and scrolls, and a timeline of raw versus filtered cursor position

Our honest results

Cursor jitter on a 1080p screen, raw vs One-Euro filter	11.5 vs 4.6 px
Lag on a fast sweep, One-Euro vs equally smooth moving average	23 vs 110 ms
Gesture precision / recall - 607 synthetic gestures, moderate noise	0.995 / 0.993
Weakest gesture: right-click recall at high noise	0.849

The gesture numbers come from simulated hands, not real users. The guide says so, explains why right-click is the weak spot, and shows how to record and score your own hand. Runs on a laptop CPU, so no GPU is needed.

What's included

Readable source codeSmall, commented modules you can explain line by line in your viva.
Demo appA local web app to show your examiners - runs offline on your laptop.
Trained model + reference resultsSo you can compare your own runs fairly.
Learning guide with viva Q&ABackground, design choices explained, limitations and extension ideas.
One-click setup & testsWindows setup script and tests that prove it works on your PC.
Dataset download scriptFetches the public data from its original source, with the citation.

Dataset credit

MediaPipe Hand Landmarker model by Google, Apache License 2.0 (model and model card), downloaded at setup, not redistributed. No dataset is used.

Academic integrity

We sell code and teaching, not finished projects. You must understand, extend and write up the work yourself, acknowledge the kit and cite the dataset. No ready-made reports.

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