SUBHADIPMAITI-DEV/Depression-Detection-System-Using-Machine-Learning

This project develops a Depression Detection System using Machine Learning on Twitter data. It predicts depression by analyzing tweets with SVM, Logistic Regression, Decision Trees, and NLTK in Python.

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Experimental

Implements a complete ML pipeline with data preprocessing via NLTK tokenization and feature extraction, followed by comparative model evaluation across multiple classifiers to identify optimal performance metrics. Supports both local execution (Windows 10, I3+ systems with 8GB RAM) and cloud-based training via Google Colab GPU acceleration for scalable model development.

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 9 / 25
Community 7 / 25

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24

Forks

2

Language

Jupyter Notebook

License

MIT

Last pushed

Jun 07, 2025

Commits (30d)

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