View Proposal

Proposer
Abhishek Ghai
Title
Real-Time Sign Language Recognition
Goal
Description
Students design a pipeline for detecting hand position and shape from live video, choose and justify a fixed set of signs to recognize, and collect or source the data needed to train a classifier for that vocabulary. The system should run in real time, converting recognized signs into readable text on screen, with an optional spoken output. Students should reflect on the practical constraints of real-time recognition, such as robustness to different users, lighting, or camera angles, and discuss these limitations in their evaluation.
Resources
Background
Url
Difficulty Level
Easy
Ethical Approval
None
Number Of Students
1
Supervisor
Abhishek Ghai
Keywords
computer vision, gesture recognition, hand tracking, real-time processing, image classification, human-computer interaction, assistive technology
Degrees
Bachelor of Science in Computational Sciences and Software Engineering
Back to List