Building an ASL Recognition System: A Complete Guide

# Building an ASL Recognition System: A Complete Guide American Sign Language (ASL) recognition is a fascinating application of computer vision and deep learning. In this comprehensive guide, I'll walk you through the entire process of building a CNN-based gesture recognition system that achieves 92.6% accuracy. ## Project Overview This project was developed as part of my final-year research, focusing on real-time ASL alphabet recognition using convolutional neural networks. ### Key Achievements - **92.6% accuracy** on test dataset - **0.90 F1 score** across all classes - Trained on **13,000 images** across **26 ASL hand gesture classes** ## Dataset Preparation The first step in any ML project is data preparation... [Content continues...]