Creating a web application to bridge communication for deaf, mute and sign languages

This project aims to develop an accurate and efficient system for translating audio to text and text to audio while enabling seamless communication through sign languages. It enhances accessibility for the deaf and hard-of-hearing community by integrating Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and deep learning for precise translation. Supporting multiple Indian languages and dialects, the system incorporates noise reduction, accent adaptation, and context-aware NLP to improve transcription accuracy. It offers real-time and offline speech processing, ensuring accessibility even in low-connectivity environments. Additionally, it integrates assistive technologies, such as text-to-speech synthesis and compatibility with wearable devices for enhanced usability. With a simple, user-friendly interface and cross-platform support, this project promotes inclusivity across education, healthcare, workplaces, and public services. It also advances research in AI-driven accessibility, fostering a more connected and inclusive society.