Authors: Mrs. M. Lavanya, Ms. R. Kavinila, Ms. M. Harini, Ms. K. Keerthana
Abstract: Education for students with disabilities continues to face challenges due to inadequate accessibility tools, lack of adaptive content, and poor connectivity in rural areas. Existing technologies such as screen readers, speech-to-text converters, and sign language translators function independently, resulting in fragmented learning experiences. EduAble, is a multi modal AI-powered learning platform designed to support students with visual, hearing, mobility, and neurodiverse challenges. It integrates Text-to-Speech (TTS), Speech-to-Text (STT), sign language and gesture recognition, and adaptive content simplification to create a unified, inclusive learning environment. EduAble is developed using Django with Django REST Framework for backend processing and React Native for cross-platform mobile accessibility, supported by PostgreSQL for data storage.The platform employs advanced AI models such as gTTS for speech synthesis, CNN with MediaPipe and OpenCV for gesture and sign language detection, and BERT for text simplification using TensorFlow which collectively enhance learning accessibility and provide a more effective and integrated assistive education system.
DOI: https://doi.org/10.5281/zenodo.18585544
