ProcessPilot

Overview

ProcessPilot is a modern, web-based tool designed to monitor and manage system processes. It provides a user-friendly interface to view running processes, track CPU and memory usage, filter processes via a search bar, terminate selected processes, and gain insights into system performance. Additionally, it includes an AI-powered chatbot for system-related queries and performance advice, a real-time CPU usage graph, and system details displayed at the bottom of the application.

Features

• View Running Processes: Displays a list of currently running processes along with CPU usage, memory usage, and other relevant details.
• Search Functionality: Allows users to filter processes by name using a search bar.
• Terminate Processes: Enables users to kill a selected process directly from the web interface.
• Process Insights: Provides recommendations for processes with high CPU or memory usage.
• AI Chatbot: Includes an AI-powered chatbot to answer system-related queries such as CPU usage, memory status, and storage availability.
• Performance Monitoring: Offers insights into CPU performance and memory usage in real-time.
• Dynamic Filtering: Allows users to filter processes based on high CPU or memory usage.
• CPU Usage Graph: Displays a real-time graph of CPU usage to monitor system performance visually.
• System Details: Displays key system information (e.g., total memory, available memory, CPU cores) at the bottom of the application.
• Responsive Design: The web app is fully responsive and works seamlessly across devices.

Requirements

Backend

• Python 3.x
• Required Python Libraries:
  • Flask (for the backend server)
  • Flask-CORS (to handle cross-origin requests)
  • psutil (for process monitoring)
  • wmi (for Windows Management Instrumentation)
  • pythoncom (for COM initialization in multithreaded environments)

Frontend

• React.js (for the user interface)
• Tailwind CSS (for styling)

Installation

Backend Setup

1. Navigate to the backend directory:

   cd ProcessPilot/backend

2. Install dependencies:

   pip install -r requirements.txt

3. Start the backend server:

   python app.py

Frontend Setup

1. Navigate to the frontend directory:

   cd ProcessPilot/frontend

2. Install dependencies:

   npm install

3. Start the frontend development server:

   npm start

Usage

1. Open the web application in your browser (default: http://localhost:5174).
2. Use the sidebar to navigate between features:
   • All Processes: View and manage all running processes.
   • High CPU Usage: Filter processes consuming high CPU resources.
   • High Memory Usage: Filter processes consuming high memory resources.
   • AI Chat: Interact with the AI chatbot for system-related queries.
   • CPU Performance: Monitor CPU performance in real-time with a graph.
   • Process Insights: Get recommendations for processes with high resource usage.
3. Use the search bar to filter processes by name.
4. Select a process and click "Kill Selected Process" to terminate it.
5. Use the AI chatbot to ask questions like:
   • "How much storage is available?"
   • "What is the current CPU usage?"
   • "Which task is consuming the most memory?"
6. View the CPU Usage Graph and System Details at the bottom of the application for real-time performance monitoring.

API Endpoints

Backend API

• GET /api/processes: Fetches a list of all running processes.
• POST /api/kill: Terminates a process by its PID.
  • Request Body: { "pid": <process_id> }
• GET /api/cpu-details: Provides details about CPU performance and memory usage.
• GET /api/process-insights: Returns insights and recommendations for processes with high resource usage.
• POST /ask-ai: Handles AI chatbot queries.
  • Request Body: { "query": <user_query> }

Notes

• The application requires administrator privileges to terminate certain system processes.
• Ensure Python, Node.js, and required dependencies are installed before running the application.
• The backend server runs on http://localhost:5000 by default, and the frontend runs on http://localhost:5174.

License

This project is open-source and one can update it , also it is available under the MIT License.

Author

Developed by Kishlay Kumar