International Journal of Scientific Research and Engineering Development

In this research paper, I explore the design and rollout of an AI-powered College Staff Management System built to fix the inefficiencies and human errors that plague traditional academic administration. The core of the system is a Role-Based Access Control (RBAC) setup, which gives custom, secure dashboards to Teachers, Heads of Departments, and the Principal. With these dashboards, routine tasks like tracking attendance, scheduling timetables, and managing grades become faster and more reliable. What sets this project apart isn’t just digitizing paperwork. It brings in machine learning for attendance predictions, workload balancing, and automated performance reviews. AI turns raw data into meaningful insights, making decision-making smarter and helping distribute resources more fairly across the institution. The architecture took shape through a thorough process—from scoping requirements to hooking up APIs and deploying everything in the cloud. The results speak for themselves. Automating day-to-day admin work cuts down labor, boosts reporting accuracy, and removes a lot of manual headaches. This initiative really shows just how much AI can shift the landscape in academic settings, supplying a scalable blueprint for modern faculty management.

Vivek.K.Mane, Atharv.C.Bhoi, Chirayu.D.Mudgal, Amey.H.Shirole, Miss.Vrushali.R.Bhivse,"AI-Based College Management System" International Journal of Scientific Research and Engineering Development, V9(2): Page(1702-1705) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.