Hand Gesture Recognition using Convolutional Neural Networks (CNNs)

This project involves developing a Convolutional Neural Network (CNN) model for real-time hand gesture recognition using images acquired from the Leap Motion sensor. The dataset consists of 10 distinct hand gestures performed by 10 different subjects. The primary goal is to accurately classify these gestures in real-time, leveraging CNN techniques to achieve robust performance in dynamic conditions. This task was part of my internship at Prodigy InfoTech, where I applied advanced machine learning methods to practical problems.