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.
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.
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MIT
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Last pushed
Jun 07, 2025
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