AI Sign Language Translator App

GitHub: https://github.com/jacksoncamp42/AI-Powered-ASL-Translator-App

Developed a real-time ASL interpreter using computer vision and AI, enabling live detection of body keypoints, real-time phrase prediction, and sentence construction from interpreted signs
Crafted a user-driven training system to facilitate the addition of new ASL words to the model
Accomplished high model accuracy, reaching 98.4% on static ASL letter image recognition and 96.1% on dynamic live ASL phrase recognition, by implementing CNN and LSTM neural network
Leveraged Convolutional Neural Network (CNN), Max Pooling, Batch Normalization, Dropout, and Long Short-Term Memory (LSTM) layers to optimize model performance, training speed, and prevention of overfitting

Seagull LLM