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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.

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

Languages

Jupyter Notebook88.6%Python11.4%

Contributors

MIT License
Created November 26, 2022
Updated January 10, 2026
SUBHADIPMAITI-DEV/Depression-Detection-System-Using-Machine-Learning | GitHunt