AI-DRIVEN MULTIFUNCTIONAL ASSISTIVE DEVICE FOR ENHANCING MOBILITY AND COMMUNICATION IN DISABLED INDIVIDUALS

Author(s)	Mr. Manish Kumar Acharya, Mr. Indra Kishor, Chiya Jamwal, Ekta Rathore, Bhanwar Singh Rathore
Country	India
Abstract	The paper describes the design, development, and evaluation of a multi-functional, AI-enabled assistive device in the desire to improve accessibility and communication capabilities in individuals with visual, auditory, and speech disabilities. Three key features integrate this device, which are an ultrasonic sensor-based obstacle detection system for the visually impaired, a speech-to-text transcription system for the hearing impaired, and a communication module for speech-impaired users. There were three categories of users tested: blind, deaf, and mute. All real-life situations were taken into account, involving indoor and outdoor settings.
Keywords	visual impairment, auditory impairment, speech impairment, obstacle detection, IoT integration, user evaluation
Field	Engineering
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-20
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.42235

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