Designing and Developing a Generalized AI Bot for Adaptive Learning Assistance

This project developed an AI-powered tutor to support K–12 students by offering personalized, adaptive learning and instant feedback. Using technologies like Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and tools like Ollama and LangFlow, the tutor delivers accurate, context-aware responses in natural language.Designed to complement— not replace—traditional teaching, the tutor targets areas where students typically struggle. It operates in two phases: ingestion (processing and storing educational content) and runtime (retrieving relevant information to answer student queries).While acknowledging challenges like the digital divide, data privacy, and AI bias, the project demonstrates the tutor's potential to enhance learning accessibility, engagement, and effectiveness.