Hand Gesture Recognition

A hand gesture recognition system using TensorFlow Lite and a Tkinter frontend for real-time sign and gesture detection.
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Project Overview

This project, developed as a submission for FOSS Hack 2024, focuses on hand gesture recognition using machine learning models. The goal is to accurately recognize various hand signs and finger gestures through a camera feed, leveraging TensorFlow Lite models for efficient inference on edge devices. The project includes a Tkinter-based frontend for an intuitive user interface.

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