Template-Type: ReDIF-Article 1.0
Author-Name:Muhammad Tayyab, Mohammad HashirSajjad, Mohammad Uzair, Arbab Masood Ahmad, Syed Ghulam Moeen Ud Din Shah Banoori
Author-Email:22tayyabkhan22@gmail.com
Author-Workplace-Name:Department of Computer Systems Engineering,University of Engineering and Technology,Peshawar, Pakistan
Title:Development of a Generative AI Application for Therapy of Speech-Impaired Patients
Abstract:With the use of this web application, speech therapy can be provided to individuals with speech disabilities through an easy-to-use and engaging interface,which allows them to receive treatment from anywhere. Conventional treatment often requires the patient's presence,which can be hard due to their location, finances, or even other health conditions. The application helps users practice articulation, fluency, and pronunciation with the help of guided exercises, visual aids, and voice recognition technology. Users are provided with a personalized treatment plan that reviews their progress over time and provides them with feedback, reports, and reminders to help ensure users are motivated and consistent. This new  technology  will  increase  the  availability  of services  to  patients  in  underserved  regions,which will improve their communication as well as the quality of life.
Keywords:Gen AI, Speech Therapy, Large Language Models
Journal:International Journal of Innovations in Science and Technology
Pages:1334-1340
Volume:7
Issue:2
Year:2025
Month:June
File-URL:https://journal.50sea.com/index.php/IJIST/article/view/1383/1971
File-Format: Application/pdf
File-URL:https://journal.50sea.com/index.php/IJIST/article/view/1383
File-Format: text/html
Handle: RePEc:abq:IJIST:v:7:y:2025:i:2:p:1334-1340