Machine Learning-Powered Usage Pattern Analysis
Monitor your screen time, analyze usage patterns with AI, and build healthier digital habits with our intelligent desktop application featuring real-time tracking and smart insights.
Created by Divyansh Mishra
Advanced desktop application with real-time monitoring, AI-powered insights, and intelligent voice alerts to promote healthier digital habits.
Uses psutil to track active applications and system activity in real-time, providing accurate usage statistics and process monitoring.
Advanced pattern recognition algorithms analyze your usage habits to identify trends, predict behavior, and provide personalized recommendations for better digital wellness.
Powered by pyttsx3, delivers non-intrusive voice reminders after excessive usage periods, helping you maintain healthy screen time habits.
Beautiful charts and graphs using matplotlib provide daily and weekly tracking insights with comprehensive usage statistics.
Implemented with advanced threading to ensure smooth UI experience without blocking background monitoring tasks, maintaining system responsiveness.
Native desktop application with intuitive GUI interface, supporting Windows, macOS, and Linux platforms for comprehensive digital wellness tracking.
Built with cutting-edge technologies and best practices for performance, reliability, and user experience.
Leverages Python's psutil library for comprehensive system monitoring, tracking CPU usage, memory consumption, and active processes with minimal system overhead.
Advanced pattern recognition and predictive analytics to understand user behavior, identify usage trends, and provide intelligent recommendations for improved digital wellness.
Comprehensive data visualization using matplotlib with interactive charts, trend analysis, and detailed reporting for actionable insights.
Explore the intuitive desktop interface with real-time monitoring, AI insights, and comprehensive analytics.
Live system monitoring with active application tracking and usage statistics.
Comprehensive charts and graphs showing daily and weekly usage patterns.
Machine learning analysis of usage patterns with predictive recommendations.
Configure monitoring settings and customize voice reminder preferences.
Built with modern Python technologies and best practices for performance, reliability, and user experience.
Python-based desktop application stack
Intelligent pattern analysis and predictions
Download our AI-powered desktop application and start building healthier digital habits with intelligent monitoring and personalized insights.