Next Gen Smart Voice Assistant for Blind &  Handicapped Users

Author(s)	Pavan Bhiwaji Kalambe, Prof. Monika Ingole, Prof. Vijayta Dalwankar
Country	India
Abstract	Visually impaired individuals encounter significant difficulties in accessing printed and digital textual information, which limits their independence and learning opportunities. Despite advancements in digital technology, most reading systems remain inaccessible or require external assistance. This paper presents the design and implementation of a web-based intelligent PDF-to-speech reading system aimed at improving document accessibility for visually impaired users. The proposed system enables users to upload PDF documents, preview the content, extract textual data using PDF processing techniques, and convert the extracted text into audible speech through Text-to-Speech (TTS) technology. The system incorporates user-controlled functionalities such as play, pause, stop, and resume, allowing seamless and hands-free interaction via headphones or speakers. This approach provides a cost-effective solution for education, information access, and inclusive digital interaction for visually impaired individuals.
Keywords	IoT, NLU, AI, JAVA, HTML, Visually Impaired, Assistive Technology, PDF Text Extraction, Text-to-Speech (TTS), Web-Based Application, Document Accessibility, Speech Synthesis, Human–Computer Interaction.
Published In	Volume 7, Issue 2, March-April 2026
Published On	2026-04-24
DOI	https://doi.org/10.63363/aijfr.2026.v07i02.5183

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