A CNN based human computer interface for American Sign Language recognition for hearing-impaired individuals
This project aims to detect American Sign Language using PyTorch and deep learning. The neural network can also detect the sign language letters in real-time from a webcam video feed.
Developed a program that lets users search dictionaries of American Sign Language (ASL), to look up the meaning of unknown signs using Dynamic Time Warping with custom features.
Detect and Translate American Sign Language (ASL) fingerspelling into text.
American Sign Language image recognition using Deep Learning. Capstone project for DSCI 591+592.
sign-to-speech
Group Project Completed in CSE343:Machine Learning course in IIITD during the Monsoon 2024 Semester. Professor: Jainendra Shukla
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