Platform epoch
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
NHCE
Abstract
Children with Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) often face unique developmental challenges that demand tailored interventions and educational support. This project, "Platform Epoch” seeks to bridge the gap between advanced diagnostic tools and personalized learning systems. By leveraging the power of digital identity and learning analytics, the platform provides an integrated solution to support early detection, informed decision-making, and customized educational pathways for children with special needs.
At the core of the platform lies a machine learning model that computes an autism risk score (A_Score) by analyzing behavioral and demographic data collected through structured input forms. The model employs advanced neural network architectures to classify risk levels with precision, ensuring timely and accurate diagnostics. Complementing this functionality is a dynamic learning ecosystem that uses learning analytics to track progress, identify strengths and weaknesses, and provide actionable recommendations for parents and educators. By offering a robust backend powered by Flask APIs and secure data handling mechanisms, the platform ensures real-time processing and reliability.
The platform is designed with accessibility and inclusivity in mind, emphasizing features like intuitive dashboards, responsive interfaces, and multilingual support. A unique digital identity system links parent and child accounts, facilitating personalized interactions while ensuring data privacy. Additionally, the system incorporates adaptive learning pathways tailored to the child’s cognitive and behavioral profiles, enabling gradual improvement and sustained engagement. Visualization tools such as Matplotlib and Plotly enhance user experience by presenting insights in an interactive and comprehensible manner.