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Title: Development of a Generative AI Application for Therapy of Speech-Impaired Patients
Authors: Muhammad Tayyab, Muhammad Hashir Sajjad, Muhammad Uzair, Arbab Masood Ahmad, Syed Ghulam Moeen Ud Din Shah Banoori
Journal: International Journal of Innovations in Science & Technology
Publisher: 50SEA JOURNALS (SMC-PRIVATE) LIMITED
Country: Pakistan
Year: 2025
Volume: 7
Issue: 2
Language: en
Keywords: Large Language ModelsSpeech therapyGen AI
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.
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