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Sign Language Video Call Application

A real-time video call app that recognizes Indian Sign Language using both hands, enabling seamless communication for the hearing-impaired community.

비디오

기술 스택

Python
Node
HTML
CSS

설명

This project aims to build a real-time Indian Sign Language (ISL) recognition system capable of interpreting hand gestures involving both hands. Using a custom-built dataset categorized from 'A' to 'Z', the system captures live hand images via a camera, processes them through a deep learning model, and accurately predicts the corresponding sign.

Key features include:

  • Dual-hand gesture recognition for higher accuracy and complexity.

  • Real-time prediction using a webcam or mobile camera.

  • Custom dataset creation for ISL, ensuring model training on region-specific signs.

  • Potential integration into educational tools, communication aids for the hearing-impaired, and cross-language communication systems.

The system is designed for scalability and can be expanded to include numbers, dynamic gestures, or full-word recognition in the future

해커톤 진행 상황

We built a working prototype that recognizes two-hand ISL signs in real-time using a custom dataset. The model is integrated into a video call interface, enabling live sign translation. UI and backend integration are in progress, with scalability and additional gestures planned next.
팀 리더
SSayan Das
프로젝트 링크
부문
AIOther
우승 트랙
Champion

Shortlisted For In-Person Hack

Hack4Bengal 4.0