/Student-Anxiety-and-Depression-Prediction

Primary LanguageJupyter NotebookMIT LicenseMIT

Students Depression Prediction using Machine Learning Approach

WebApp

Contribution:

  • Predicting student's mental condition.
  • To create a dataset for depression.
  • Choosing the best predictive machine learning model for the Depression Dataset
  • Build an WebApp

Dataset Description

  • Dataset Annotation

  • Label Count

Link to the dataset: https://www.kaggle.com/datasets/sahasourav17/students-anxiety-and-depression-dataset

Note: You can't use this dataset for business purpose. This is only for educational use.

Design Overview of Depression Prediction Model

Methodology

Performance Evaluation

Comparision of Performance

  • Comparsion with Machine Learning Method

  • Comparison with existing Literature

  • Comparison with Neural Networks