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The Activity Tracker Agent is a Python-based desktop application designed to monitor user activity and distinguish between genuine user behavior and automated/scripted inputs.

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📊 Activity Tracker Agent

The Activity Tracker Agent is a desktop application used to track system activity and distinguish between genuine user behavior and automated/scripted inputs.

Architecture
Configuration Interface

Features

🔍 Activity Tracking

  • 🖱️ Mouse Tracking: Identifies patterns in cursor moving.
  • 👆 Mouse Click Tracking: Track if mouse is clicking without movement.
  • ⌨️ Keyboard Tracking: Monitors key press intverals and analysis them.

🕑 Time Zone Management

  • 🌍 Time Zone Detection: Automatically detects system time zone changes in system and report timestamps.

📸 Screenshot Capture

  • ⏱️ Configurable Intervals: Set screenshot intervals, through the web app.
  • 😶‍🌫️ Optional Blur: Enable/disable blurring for privacy, via the web app.
  • ☁️ Cloud Storage Upload: Uploads screenshots to Amazon S3.

📸 No internet connection

  • 🫸 Queue Management: stores the files in the queue if no internet connection, then after connectivity uploads to S3.
  • ☁️ Amazon S3 Upload: Uploads screenshots to Amazon S3 after connection establish.

📸 Encryption and Compression

  • 🫸 Encryption: Uses cryptography library for Encryption of screenshots
  • ☁️ Compression: Uses gzip and zipfile library for compression of screenshots

🌐 Web Application

This allows users to configure settings of Python Agent like screenshot interval, enable/disable screenshots and blur.

🌐 Web App Preview

Authentication Configurations
Configuration Interface Configuration Module

📸 Python App Preview

Start/Stop Script Realtime Settings
Configuration Interface Blurred Screenshot

🛠️ Working

🧑‍💻 Main Workflow

The application starts by initializing mouse, keyboard, and time zone tracking on separate threads to continuously monitor activity.

🖥️ Main Code Overview

import threading
import mouse_tracking
import mouse_click_tracking
import keyboard_tracking
import timezone_tracking

def main():
    movement_thread = threading.Thread(target=mouse_tracking.track_mouse_movement)
    movement_thread.start()

    keyboard_thread = threading.Thread(target=keyboard_tracking.monitor_keyboard)
    keyboard_thread.start()

    timezone_thread = threading.Thread(target=timezone_tracking.detect_time_zone_change)
    timezone_thread.start()

    mouse_click_tracking.detect_clicks()

if __name__ == "__main__":
    main()

📂 Setting up Python Agent

  1. Clone the repository:

    git clone https://github.com/nitishkumar333/Activity-Tracker-Agent.git
  2. Install required dependencies:

     pip install -r requirements.txt
  3. Add credentials in .env:

     AWS_ACCESS_KEY_ID = 'your_key_id'
     AWS_SECRET_ACCESS_KEY = 'secret_key'
     REGION_NAME = 'us-east-1'
     BUCKET_NAME = 'bucket_name'
     ENCRYPTION_KEY = 'your_ency_key'
  4. Run the application:

    cd activity-tracking
    python vira.py

📂 Setting up Wep App

  1. Install required dependencies:

    cd web_agent
    npm install
  2. Add credentials in .env:

     REACT_APP_AWS_ACCESS_KEY_ID = 'your_key_id'
     REACT_APP_AWS_SECRET_ACCESS_KEY = 'secret_key'
     REACT_APP_AWS_REGION_NAME = 'us-east-1'
     REACT_APP_AWS_BUCKET_NAME = 'bucket_name'
     REACT_APP_AWS_BUCKET_NAME = 'your_ency_key'
    
     REACT_APP_FIREBASE_API_KEY = 'your_key_id'
     REACT_APP_FIREBASE_AUTH_DOMAIN = 'your_auth_id'
     REACT_APP_FIREBASE_PROJECT_ID = 'your_project_id'
     REACT_APP_FIREBASE_STORAGE_BUCKET = 'your_storage_id'
     REACT_APP_FIREBASE_MESSAGING_ID = 'your_message_id'
     REACT_APP_FIREBASE_APP_ID = 'your_firebase_app_id'
  3. Run the application:

    npm start

👥 Contributors

This project was developed by:


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The Activity Tracker Agent is a Python-based desktop application designed to monitor user activity and distinguish between genuine user behavior and automated/scripted inputs.

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