Smart CPU Scheduler – AI-Based Process Scheduling Simulator

Smart CPU Scheduler is a Python-based CPU scheduling simulator developed to analyze and compare different process scheduling algorithms.

The project simulates CPU scheduling using process attributes such as execution time, I/O behavior, and memory usage. It also explores the use of an adaptive Time Quantum instead of relying on a fixed value.

Key Features:

Simulation and comparison of Standard Round Robin and AI-based Round Robin scheduling.

Process analysis based on execution characteristics.

Adaptive Time Quantum selection.

Calculation of Waiting Time and Turnaround Time.

Visualization of scheduling performance and comparison results.

Technologies Used: Python, Machine Learning concepts, Data Analysis, and Data Visualization.

The objective is to evaluate scheduling performance and demonstrate how adaptive scheduling strategies can be compared with traditional approaches.