AI-powered mobile application 'play home' for autism education

Jamal, Norezmi and Mohd Nasir, Haslinah and Brahin, Noor Mohd Ariff and Zainuddin, Suraya and Md Isa, Ida Syafiza and Azhar, Maizatul Amirah and Rohizat, Nurul Syazwani (2025) AI-powered mobile application 'play home' for autism education. International Journal of Research and Innovation in Social Science (IJRISS), IX (IIIS). pp. 6618-6626. ISSN 2454-6186

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Abstract

This project describes the development of an AI-powered mobile application ‘Play Home’ which was designed as a teaching aid for children with autism. To enhance the learning process, the application employ machine learning (ML) techniques for image classification and object recognition. The AI models were trained using Google’s Teachable Machine platform which simplified and improved the model construction process. Meanwhile, the application ‘Play Home’ was built using MIT App Inventor which offers a low-code environment ideal for rapid development and deployment. ‘Play Home’ consists of five modules, each designed to help autistic children develop their cognitive and sensory skills. These modules improve attention span, recognition abilities, and overall participation through dynamic and engaging tasks. The integration of AI enables ‘Play Home’ to respond in real-time, making the learning experience more personalized and adaptable. The ‘Play Home’ includes a real-time database for progress monitoring, and performance metrics. This allows caregivers and educators to monitor learning outcomes and tailor content to individual students’ needs. Initial testing shows that the AI-powered application ‘Play Home’ works well, and has an appealing, instructive interface that caters to the special needs of children with autism. The use of interactive elements and responsive feedback has shown potential in making learning more enjoyable and accessible for the target group especially for autistic children. Future research will concentrate on real-world validation by working with autism centers to evaluate the educational impact and usability in real-world scenarios. The findings will guide further enhancements, ensuring the application meets the educational and developmental needs of children with autism.

Item Type:	Article
Uncontrolled Keywords:	AI-powered mobile application, Machine learning, Autism education, Teachable machine, MIT app inventor, Interactive learning
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	18 Aug 2026 03:45
Last Modified:	18 Aug 2026 03:45
URI:	http://eprints.utem.edu.my/id/eprint/30277
Statistic Details:	View Download Statistic

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