International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Early screening of cognitive and neurodevelopmental disorders remains a significant challenge due to delayed clinical access, limited awareness, and lack of scalable assessment tools. This work presents an AI-Driven Cognitive and Neurodevelopmental Risk Assessment Platform aimed at supporting preliminary screening of Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorder (ADHD), and Dementia across different age groups. The system adopts a structured three-level assessment framework. Level-1 performs age-specific questionnaire-based screening using supervised machine learning models to estimate risk probability. Users exceeding a predefined threshold are directed to Level-2, which employs interactive and gamified cognitive tasks to capture behavioural and attention-related indicators. Level-3 provides alert-based guidance and professional consultation recommendations for high-risk cases. The platform integrates modern web technologies, secure backend services, and conversational AI using the Gemini API to ensure explainability and user engagement. Experimental evaluation demonstrates reliable age-adaptive interface behaviour, consistent risk prediction, and controlled assessment progression. The proposed system functions as an ethical, scalable early screening and decision-support tool that bridges the gap between self-assessment and clinical evaluation.

Downloads: | DOI: 10.17148/IJARCCE.2026.15179