[JMIR '22, DataBricks '22] Code for Classification of Abnormal Hand Movement for Aiding in Autism Detection
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Updated
Nov 3, 2023 - Jupyter Notebook
[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.
Developed an algorithmn based on the 'eigenface' facial recognition method to classify MRI brain data.
[MICCAI 22 / MLCN 22] Interpersonal neural synchrony based ASD prediction
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.
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