An Aiml-Enabled Android Application for Improving Cognitive Ability of Children with Autism Spectrum Disorders

Abitha K, Divya Dharshini, Surya Prakash and J. Sudhakar
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Abitha K: UG student, Department of Biomedical Engineering, Karpaga Vinayaga college of Engineering and Technology, Chengalpattu, Tamil Nadu, India
Divya Dharshini: UG student, Department of Biomedical Engineering, Karpaga Vinayaga college of Engineering and Technology, Chengalpattu, Tamil Nadu, India
Surya Prakash: UG student, Department of Biomedical Engineering, Karpaga Vinayaga college of Engineering and Technology, Chengalpattu, Tamil Nadu, India
J. Sudhakar: Associate professor, Department of Biomedical Engineering, Karpaga Vinayaga college of Engineering and Technology, Chengalpattu, Tamil Nadu, India

International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 5, 674-679

Abstract: This methodology focuses on developing an Android application with two modules: User and Psychologist. The User module is further divided into three components: a Chatbot, Emotion Recognition, and Collaboration. The Chatbot allows users to interact through speech and text using Speech-to-Text and Text-to-Speech APIs. The system processes user input using a trained Natural Language Processing (NLP) model to provide relevant responses, both in text and voice. The Emotion Recognition module analyzes user’s mood swings by uploading images categorized by emotions like happiness, anger, and sadness, displaying personalized greetings accordingly. The third component, Collaboration, connects users with a psychologist, enabling communication about autism-related queries via chat. The application aims to provide accessible mental health support, improving user interaction and emotional well-being through innovative technologies. This project combines AI-driven interaction, emotional analysis, and expert collaboration to create a comprehensive mental health assistance platform.

Date: 2025
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