Real-Time ASL Sign Language Recognition System
Built a real time sign language recognition system using computer vision and machine learning. Implemented hand tracking with MediaPipe and trained an SVM classifier for ASL letter prediction, achieving high accuracy. Developed a FastAPI based inference service exposing prediction endpoints for real time usage and integration into applications. Focused on building a practical, production style ML integrated system.