DeskBuddy - AI-Powered Personal Productivity Companion

DeskBuddy is an AI-powered personal productivity companion designed to help individuals maintain focus, monitor work patterns, and improve digital well-being while working at their computers.

Features

• Multimodal Data Collection: Keystroke dynamics, facial engagement cues, and application usage patterns
• Real-time Dashboard: Streamlit-based interface for productivity visualization
• Cognitive Load Monitoring: Track typing activity, application usage, and attention patterns
• Privacy-First Design: All data stored locally with secure handling

Project Structure

deskbuddy/
├── src/
│   ├── data_collection/
│   │   ├── keystroke_logger.py      # Keystroke tracking
│   │   ├── window_tracker.py        # Application usage monitoring
│   │   ├── webcam_monitor.py        # Facial analysis and attention tracking
│   │   └── data_collector.py        # Unified data collection orchestrator
│   ├── data_processing/
│   │   ├── data_processor.py        # Data preprocessing and analysis
│   │   └── database_manager.py      # SQLite database management
│   ├── models/
│   │   └── productivity_analyzer.py # ML models for productivity insights
│   └── dashboard/
│       ├── app.py                   # Main Streamlit application
│       ├── components/
│       │   ├── activity_charts.py   # Activity visualization components
│       │   ├── attention_charts.py  # Attention tracking visualizations
│       │   └── productivity_metrics.py # Productivity metrics display
│       └── utils/
│           └── chart_helpers.py     # Utility functions for charts
├── data/
│   └── deskbuddy.db                # SQLite database (created automatically)
├── logs/
│   └── app.log                     # Application logs
├── config/
│   └── settings.py                 # Configuration settings
├── requirements.txt
├── setup.py
└── README.md

Quick Start

1. Check Dependencies:

   python run_deskbuddy.py --check

2. Install Dependencies (if needed):

   pip install -r requirements.txt

3. Set up Environment:

   python run_deskbuddy.py --setup

4. Start DeskBuddy (Dashboard + Data Collection):

   python run_deskbuddy.py --start

5. Open Dashboard: Navigate to http://localhost:8501 in your browser

Advanced Usage

• Start Only Dashboard:

  python run_deskbuddy.py --dashboard

• Start Only Data Collection:

  python run_deskbuddy.py --collect

• Check Status:

  python run_deskbuddy.py --status

• View All Commands:

  python run_deskbuddy.py

Current Objectives

1. Basic Cognitive Load Indicators

• Keystroke logging for typing activity tracking
• Window/application usage tracking
• Webcam-based facial analysis for attention monitoring
• Blink rate and eye movement tracking
• Secure multimodal data storage

2. Streamlit Prototype Dashboard

• Daily typing activity visualization
• Application usage time tracking
• Webcam attention summary
• Interactive data visualizations

3. Backend Data Pipeline

• Continuous logging system
• Unified SQLite storage
• Modular architecture for future expansion

Privacy & Security

• All data is stored locally on your machine
• No external data transmission
• User consent required for webcam access
• Configurable data retention policies

Future Enhancements

• Sentiment detection
• Posture monitoring
• Advanced productivity analytics
• Personalized recommendations
• Break reminders and wellness features

License

MIT License - See LICENSE file for details