A Review on IT Assistant Application (An Educational RAG App)

The increasing reliance of college students on digital systems has created a need for immediate IT support and easy access to career and placement-related information. Conventional support mechanisms often struggle to provide quick technical assistance or placement guidance, particularly beyond regular working hours, resulting in delays and reduced efficiency. To overcome these limitations, the College IT Assistant App has been designed as a smart Android-based platform that combines secure user authentication with an AI-powered Retrieval-Augmented Generation (RAG) chatbot and a dedicated Training & Placement (T&P) module. The application enables students to receive real-time IT assistance, customized placement notifications, and access to previously asked interview questions categorized by academic branch and year. This paper surveys existing AI-driven educational support and placement solutions, highlighting how the integration of RAG models with Android and FastAPI frameworks improves information retrieval accuracy and enhances overall user experience. Additionally, the study discusses the advantages of a modular system architecture, ERP-based secure authentication, and the adoption of Jetpack Compose for modern user interface development. The findings indicate that combining hybrid AI–API architectures with personalized data analytics can greatly enhance the accessibility, dependability, and scalability of IT and placement support systems in higher education.