autism-detection

[JMIR '22, DataBricks '22] Code for Classification of Abnormal Hand Movement for Aiding in Autism Detection

This project employs machine learning for early autism detection. Utilizing Python and SVM, it offers two models: one trained on a verified dataset for classification, and another for real-time prediction from user input, enhanced with visualizations for insightful analysis.

This Project helps people with Autism get better, Using unique features and cutting edge technologies.

This project employs machine learning for early autism detection. Utilizing Python and SVM, it offers two models: one trained on a verified dataset for classification, and another for real-time prediction from user input, enhanced with visualizations for insightful analysis.

AI-powered autism screening web app built with Python and Streamlit

A comprehensive machine learning project analyzing and classifying ASD traits in children and adolescents (ages 1–18) using both supervised and unsupervised learning techniques in Python.

Real-time ASD behavioral screening and therapy platform — combines live vision + voice biomarker analysis with a weighted risk engine, age-adaptive therapy activities, and auto-generated PDF reports. FastAPI + React.

Deep learning-based autism facial detection system using computer vision and image classification techniques.

AI-powered autism detection using Django and CNN

A locally-run web application that screens for Autism Spectrum Disorder using the AQ-10 questionnaire and a trained XGBoost model, with SHAP-based explainability for transparent, interpretable predictions.

Multi-age ASD screening ML pipeline — AQ-10 · SHAP · Gradio · Uncertainty Quantification

Autism Spectrum Disorder (ASD) AI Detection System

[MICCAI 22 / MLCN 22] Interpersonal neural synchrony based ASD prediction

Skrining RAADS-R yang divalidasi secara klinis untuk memahami karakteristik spektrum autisme dalam dirimu.