Smartedu AI- CSE Assistant Rule Based AI Chat System

Dr. P. Lalitha Kumari,
P. Tejaswini, V.Tejaswani, M.Pramodh reddy, P. Rupa, K. Gnanadeep
Department of Computer Science and Engineering
Visakha Institute of Engineering and Technology, Visakhapatnam, Andhra Pradesh, India

Abstract:The rapid advancement of digital pedagogy has created a necessity for intelligent systems that move beyond static content delivery. Traditional educational platforms often fail to account for the diverse cognitive speeds and learning styles of individual students. This research presents SMARTEDUAI, an advanced AI-driven educational ecosystem designed to act as a "neural interface" to global human knowledge. By utilizing a decoupled architecture featuring a FastAPI-based Machine Learning backend and an interactive glass-morphism frontend, the system provides real-time, adaptive tutoring. The platform leverages the moonshotai/Kimi-K2-Instruct-0905 model via Hugging Face’s inference router to deliver high precision academic insights. This paper discusses the technical implementation, architectural logic, and the efficacy of using instruction-tuned AI models to enhance personalized learning outcomes. Keywords: Artificial Intelligence, Adaptive Learning, Neural Interface, FastAPI, Educational Data Mining, HumanComputer Interaction.