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

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Depression-Detection-System-Using-Machine-Learning

SYSTEM REQUIREMENT

🔎Hardware Requirements: System Processing: I3 10TH Gen ; RAM: 8GB ; Storage: SSD 512 GB ; Also, we can use cloud execution for GPU – Google Colab architecture.

🔎Software Requirements: OS: Windows 10 ; Google Colab ;

RESULT ANALYSIS image

RESULT VIDEO

Depression.Detection.System.Using.Machine.Learning.mp4

DOWNLOAD THE PROJECT REPORT ➡️

📁Depression.Detection.System.Using.Machine.Learning.Report.SM.G1.pdf

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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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python api machine-learning google twitter twitter-api depression twitter-sentiment-analysis collaborate googlecolab depression-detection communityexchange

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