An interactive, story-driven web application designed to help students and developers visualize, understand, and interact with Operating System CPU scheduling algorithms.

The visualizer models the following algorithms (with predefined rulebooks and preemptive/non-preemptive variations):

• First-Come, First-Served (FCFS)
• Shortest Job First (SJF)
• Shortest Remaining Time First (SRTF)
• Round Robin (RR)
• Priority Scheduling (Preemptive & Non-Preemptive) with optional Priority Aging
• Multi-Level Feedback Queue (MLFQ)

The Home page acts as an interactive textbook, introducing the complex concepts of Operating Systems step-by-step:

• The Rulebook: Understand the metrics—Turnaround Time, Response Time, and Wait Time.
• Preemption: Learn the difference between letting a process finish and cutting it off mid-execution.
• Algorithm Chapters: Dedicated visual chapters explaining the evolution of scheduling, from simple FCFS up to the intelligent MLFQ. Each chapter explains the "why" and "how" of the CPU's decisions.

• Live Sandbox: Step away from the theory and test the algorithms yourself.
• Process Drafting Studio: Create complex processes with varying arrival times, burst durations, and priority levels.
• Real-time Canvas: Watch the CPU execute your processes on an interactive Gantt chart.
• Live Stats & Kernel Log: View live metrics (Utilization, Throughput, Checkpoints) and a scrollable kernel log detailing context switches, IO waits, and process completions.

• Frontend Component Setup: React 19, TypeScript, Vite
• Routing: React Router v7
• Styling: Tailwind CSS v4 (featuring hand-drawn borders, custom CSS variables, and unique OS-themed typography)
• Animations: Framer Motion for smooth, hardware-accelerated UI transitions
• Icons: Lucide React

Make sure you have Node.js (v18+) and npm installed.

1. Clone the repository: ```bash git clone https://github.com/Pranay0083/CPU-Scheduler.git cd CPU-Scheduler ```

2. Install dependencies: ```bash npm install ```

3. Start the development server: ```bash npm run dev ```

4. Open your browser and navigate to `http://localhost:5173\`

Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

This project is open-source and available under the MIT License.