burnout-prediction

Burnout Sentinel

DeskGuardian is a real-time AI-powered desktop application for posture monitoring, screen-time tracking, burnout prediction, and wellness analytics. Built with PyQt5, MediaPipe, OpenCV, scikit-learn, and SQLite, it provides live posture detection, break tracking, smart alerts, and an interactive analytics dashboard.

AI-powered employee burnout risk analyzer — predicts burnout score (0–10) using Random Forest Regression on workplace productivity data. Built with scikit-learn & deployed on Streamlit.

Machine learning project for stress level and burnout prediction using XGBoost with a Flask-based frontend.

🧠 AI-powered developer productivity monitor that tracks VS Code activity, analyzes focus behavior, and predicts burnout risk using Machine Learning with Flask, SQLite, and Streamlit.

Hybrid Workforce Management System with Burnout Prediction & Analytics

A synthetic dataset with 50,000 records and 40 features for mental health assessment, burnout risk prediction, healthcare analytics, and machine learning.