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Sign Recognition and Question Answering System
This project, the Sign Recognition and Question Answering System for Hearing Impaired Individuals, aims to enhance communication for hearing-impaired individuals by combining sign language recognition with a context-aware question answering system.
Project Description
The system processes uploaded videos by breaking them down into frames and extracting images to detect hand landmarks using OpenCV. These detected landmarks enable the accurate recognition of sign language gestures, which are then translated into corresponding questions posed by the users.
The context-aware Question Answering System, implemented using the BERT model transformer, interprets these questions within their given context, generating relevant and accurate responses.
Technologies Used
- OpenCV for hand landmark detection and image processing
- BERT model transformer for the question answering system
