Gesture Sense AI - This Project Uses Computer Vision and AI-based Image Classification to Recognize Human Gestures in Real Time. Th

AI Model Training

The system uses a machine learning model to recognize hand gestures in real time through a webcam. It enables touchless interaction by accurately identifying different gestures and responding accordingly, demonstrating the application of computer vision in intuitive human-computer interfaces.

Tools required to create this project are:

1. Pictoblox Software: Download PictoBlox | Windows, MacOS, Linux, Chromebook, Android & iOS
2. Laptop/PC
3. Inbuilt or External Camera Setup
4. Objects to showcase on camera -

I have trained my hand gestures by using Teachable machine.

Then i have copied the tensorflow.js file for uploading into pictoblox.

This project uses computer vision and AI-based image classification to recognize human gestures in real time. The webcam captures live input, the trained machine learning model processes the gesture, and the system predicts the gesture class with a confidence score. The continuous loop enables real-time touchless interaction and smart automation.