About this project
CampusMind AI is an AI-powered academic copilot that helps students learn smarter instead of studying harder. Unlike traditional AI chatbots that forget every conversation, CampusMind AI uses the Model Context Protocol (MCP) to maintain a persistent academic memory for each student. It remembers what a student has studied, identifies weak concepts, tracks progress over time, and proactively recommends what should be reviewed before exams. The platform combines a modern web application with a NitroStack MCP server. Students can interact through an AI chat interface, view their study dashboard, access a memory timeline, manage revision plans, upload notes, monitor learning analytics, and use Exam Mode to generate personalized revision strategies based on their academic history. CampusMind AI automatically performs actions such as: Remembering previously studied topics Recalling old doubts using natural language Identifying weak concepts Generating personalized study plans Scheduling spaced repetition reviews Tracking learning progress and study streaks Creating AI-assisted exam preparation plans What makes CampusMind AI unique is that it acts as a long-term academic companion rather than a one-time chatbot. Every interaction improves the student's academic profile, enabling the AI to provide increasingly personalized guidance over time. By combining persistent memory, intelligent planning, and proactive recommendations, CampusMind AI helps students retain knowledge, reduce exam stress, and improve learning outcomes. Built with NitroStack MCP, Next.js, TypeScript, SQLite, and AI-powered academic memory, CampusMind AI demonstrates how persistent AI agents can transform personalized education.
Education & Research track
Build innovative tools that transform learning, teaching, academic research, and knowledge discovery.