Gesture Recognition using Deep Learning

Gesture recognition is a fascinating field of computer vision that has gained significant attention in recent years. It has numerous applications in areas such as gaming, robotics, human-computer interaction, and security systems. In this project, we will build a model that can correctly predict five gestures from a dataset containing hundreds of videos. Each video (typically 2–3 seconds long) is divided into a sequence of 30 frames(images). The data contains a'train' and a'val' folder with two CSV files for the two folders.