PCE IT ASSISTANT APPLICATION (An Educational RAG App)

Artificial Intelligence

The widespread adoption of digital technologies in educational institutions has significantly increased students’ reliance on online portals, enterprise resource planning platforms, and placement management systems. This growing dependence has created a need for smarter and more accessible technical support services. Conventional IT helpdesks and manual placement communication methods frequently face issues such as slow response times, restricted availability, and inconsistent information dissemination. To overcome these limitations, this study presents an AI-driven College IT Assistant Application that leverages Retrieval-Augmented Generation (RAG) along with mobile and cloud technologies to deliver automated, context-sensitive support for students. The proposed solution integrates a secure Android application authenticated through ERP credentials with an intelligent chatbot designed to address technical issues related to institutional software, portal access, network connectivity, and system configuration. Furthermore, the application includes a customized Training and Placement module that provides department-specific placement notifications, company insights, and interview preparation materials. A FastAPI-powered backend architecture facilitates scalable interaction among the mobile client, institutional databases, and AI components. Experimental findings indicate that the system enhances response speed, improves accessibility to critical information, and minimizes reliance on traditional manual support processes. Overall, the research demonstrates the potential of hybrid AI and API-driven architectures in building scalable, secure, and student-focused digital support environments for contemporary academic institutions.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.