Published Paper Details:

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by difficulties in social communication, behavior, and sensory processing. Early identification of ASD plays a crucial role in providing timely intervention and improving developmental outcomes. This project presents the design and development of a Web-Based ASD Screening System that automates the preliminary screening process using an interactive questionnaire interface. The system leverages modern web technologies such as React, TypeScript, and Tailwind CSS for the frontend and Supabase as the backend service to ensure efficient data handling, scalability, and security. The questionnaire is structured to evaluate behavioral indicators associated with ASD based on validated screening frameworks. User responses are processed in real time to generate an assessment summary, helping parents, caregivers, and educators identify potential early signs of ASD. The system is fully responsive, allowing access across desktop and mobile platforms, and emphasizes user privacy through secure authentication and encrypted data storage. This web-based solution enhances accessibility, reduces manual effort, and bridges the gap between awareness and professional diagnosis. Overall, the system demonstrates how technology can support early detection, encourage timely intervention, and promote autism awareness in communities.