The Silent Bridge: Building a Bi-Directional, Expression-Aware Indian Sign Language Translator

1. 1Build a dataset of Indian Sign Language samples using computer vision and machine learning techniques
2. 2Train an LLM to recognize and generate sign language expressions
3. 3Configure a bi-directional translation system to convert sign language to text and text to sign language
4. 4Test the system with real-world scenarios to ensure accuracy and effectiveness
5. 5Apply the system to real-world applications, such as video conferencing or messaging platforms

This project benefits developers, researchers, and designers working on accessibility and language translation, as it requires collaboration to integrate LLMs, computer vision, and UI/UX design

💡 A bi-directional Indian Sign Language translator can be built using LLMs, enabling seamless communication between sign language users and non-signers

💡 Building a bi-directional Indian Sign Language translator using LLMs to bridge the communication gap #accessibility #LLMs