Campus Pulse: A Serverless Smart Campus Framework for Scheduling and Fee Automation

Authors:

¹A. Karunamurthy *, ²E. Hemalatha

¹Associate Professor, Department of Computer Science and Engineering

Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry, India

Email:  karunamurthy26@gmail.com (corresponding Author)

²PG Student, Department of Master of Computer Applications

Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry, India

Email: hemaaladha03@gmail.com

Abstract

We propose Campus Pulse, a serverless framework that integrates two novel modules for intelligent academic scheduling and automated financial workflow optimization within educational ecosystems. The first module, a Conflict-Aware Smart Scheduling mechanism, addresses resource contention by embedding a rigorous timestamp and resource validation protocol directly into database write operations, so that any new session request is compared against all existing scheduled sessions through a conflict detection function, and only allocations resulting in zero conflicts are committed to the persistent state. The second module, an Automated Intelligent Fee-Management and Reminder Engine, employs a logistic regression-based probability estimator that uses features such as days elapsed since the due date, the ratio of outstanding to total amount, and historical payment behavior to compute each student’s likelihood of overdue payment, which then determines the priority, frequency, and choice of communication channels for notification dispatch. These two modules are triggered by event-driven Cloud Functions upon database state changes, acting as a middleware layer that substitutes static rule-checking with context-aware, data-driven decision-making. The proposed framework therefore eliminates manual oversight in administrative tasks. The key contributions include a conflict detection function that guarantees temporal and resource consistency without additional locking mechanisms, and a probabilistic model for personalized fee reminders that adapts to individual payment behaviors. This approach significantly reduces administrative overhead while maintaining low latency under peak loads through the inherent elasticity of the serverless architecture. Consequently, the system offers a scalable, automated solution for modern educational institutions to manage complex scheduling conflicts and financial workflows concurrently.

Keywords: Smart Campus, Cloud Computing, Serverless Architecture, Firebase, Automated Fee Management, Multi-Channel Notification System, Real-Time Analytics,