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.

Hybrid Workforce Management System with Burnout Prediction & Analytics

🧠 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.

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