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The Depression Detection using Machine Learning project harnesses algorithms and data to identify depression signs early. Leveraging Python libraries like Scikit-learn, TensorFlow, and Pandas, it aims to develop accurate models for timely intervention and support in mental health.

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Aravindh-dev12/Depression-Detection-Using-ML

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Depression-Detection-Using-ML

This project used data from social media networks to explore various methods of early detection of MDDs based on machine learning. We performed a thorough analysis of the dataset to characterize the subjects’ behavior based on different aspects of their PHQ9 question answering, textual inputs, Python code for Depression Detection using multiple machine learning algorithms and Twitter dataset for detecting depression also from sentiments

To run application Install all libraries $ pip install -r requirements.txt

Run the application $ python server.py

In Browser open URL localhost:5987

Login Using:

Username :admin Password :admin *Note : Username and password can be chnaged in server.py file

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The Depression Detection using Machine Learning project harnesses algorithms and data to identify depression signs early. Leveraging Python libraries like Scikit-learn, TensorFlow, and Pandas, it aims to develop accurate models for timely intervention and support in mental health.

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