sahasourav17/Student-Anxiety-and-Depression-Prediction
A ML project specifically build for predicting students' mental health
Implements a multi-model classification pipeline comparing traditional ML algorithms (Random Forest, SVM, Logistic Regression) and neural networks against a custom depression dataset, with performance benchmarked against published literature. Includes a web application interface for real-time mental health prediction, built on feature engineering from student behavioral and psychological survey responses.
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Jupyter Notebook
License
MIT
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Last pushed
Nov 12, 2022
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