Project Title: Mental Wellness Analysis and Support Strategy
NOTE: Github Repo Name must be Unique OL-ID assigned.
- Name: Your Name Here
- Roll No.: Your Roll Number Here
- OpenLearn ID (OL ID): Your OL ID Here
This project aims to understand key factors influencing mental health among tech employees and build data-driven solutions for improving workplace well-being. It uses machine learning techniques to perform classification, regression, and clustering tasks and presents results via an interactive Streamlit dashboard.
To understand the key factors influencing mental health issues among employees in the tech industry and build data-driven solutions for:
- Classification Task: Predict whether an individual is likely to seek mental health treatment.
- Regression Task: Predict the age of an individual based on personal and workplace attributes, supporting age-targeted intervention design.
- Unsupervised Task: Segment tech employees into distinct clusters based on mental health indicators to aid in tailored HR policies
OL-ID
βββ models/ # Machine Learning Models
β βββ classification_model.py
β βββ regression_model.py
β βββ clustering_model.py
βββ streamlit/ # Streamlit Application
β βββ app.py
β βββ components.py # UI components (optional)
βββ images/ # Screenshots (optional)
β βββ dashboard.png
β βββ eda.png
β βββ model_results.png
βββ requirements.txt
βββ README.md
- EDA Notebook: Link to EDA Notebook
- Classification Notebook: Link to Classification Notebook
- Regression Notebook: Link to Regression Notebook
- Clustering Notebook: Link to Clustering Notebook
- Streamlit App: Hosted App Link
- Technical Report: Link to Medium Blog
Watch the project in action:
- Streamlit App Demo: Click Here to View Demo
- Dashboard Overview
- EDA Insights
- Model Results
- Change the repository name to your OL-ID
- Fill in Name, Roll No., OL ID
- Add links for Notebooks, Streamlit App, and Technical Report
- Upload screenshots in images/
- Ensure requirements.txt is complete
- Push models/ and streamlit/ folders with code
- Dataset Source: Mental Health in Tech Survey
- OpenLearn Cohort 1.0 Mentors & Team