ACTION RECOGNITION WITH VOICE OUTPUT USING DEEP LEARNING FOR ASSISTING BLIND PEOPLE

In an era marked by technological advancements, accessibility remains a critical concern, particularly for individuals with visual impairments. “Action Recognition Using Deep Learning for Blind People” addresses this issue by proposing a comprehensive framework that leverages deep learning techniques to assist blind individuals to understand their surroundings. This project encompasses various modules which aimed at providing real-time voice output to visually impaired individuals. “Action Recognition Using Deep Learning For Blind People” is a groundbreaking project focusing at enhancing convenience and independence for visually impaired people through innovative technology solutions. This project focuses on developing a comprehensive system that integrates various modules, including sign language detection, object detection, text extraction from PDF documents, and real-time text extraction. Leveraging TensorFlow Lite for image preprocessing and OCR engines for text extraction, the system generates audio output to convey information effectively to blind users.