AI-Based Autism Risk Prediction and Monthly Behavioral Tracking System using Machine Learning

The ASD Early Detection & Behavioural Tracking System was developed successfully as an Artificial Intelligence and Machine Learning-based platform to assist in the early screening and monitoring of Autism Spectrum Disorder (ASD). The system provides a structured and accessible solution for parents, caregivers, and healthcare professionals to identify behavioural signs of autism at an early stage through age-based questionnaires and intelligent risk prediction models. By integrating Machine Learning techniques with behavioural assessment, the system helps improve the accuracy and efficiency of autism risk evaluation. The project successfully implements several essential features, including user authentication, child profile management, age-based autism assessments, ML-powered risk prediction, behavioural tracking, doctor recommendation, dashboard analytics, and PDF report generation. The use of Random Forest and Logistic Regression algorithms enables the system to classify autism risk into categories such as Low, Medium, and High, thereby helping users better understand behavioural concerns and take timely action. Monthly behavioural tracking and dashboard visualizations further support long-term developmental monitoring and progress evaluation.  

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