To build an Intelligent Tutoring System (ITS) that adapts to the learner’s needs, provides real-time feedback, and generates personalized learning experiences using LLMs and RAG.

An intelligent tutoring system that combines Retrieval-Augmented Generation (RAG), vector search, and adaptive AI agents to deliver real-time, personalized academic assistance.

📚🤖 OlivIA is an intelligent, RAG-based tutoring system designed to help students prepare for university math entrance exams. It combines a robust 📄 document ingestion and 🔍 retrieval pipeline with a multi-agent 🧠 architecture powered by LangGraph, offering personalized 👩‍🎓👨‍🎓, context-aware assistance, dynamic 🌐 knowledge acquisition, and

AI-powered tutoring system for secondary education using RAG architecture (FastAPI & React).

Hybrid AI Tutor — Local Ollama + OpenAI RAG-powered intelligent tutoring system for university CS & AI courses (Final Year BS AI Project)

Retrieval-Augmented Generation (RAG) system for an intelligent SQL learning tutor, utilizing Qwen2-1.5B and FAISS.

AI Tutor Agent — Multi-Agent RAG System powered by Vertex AI & Gemini 2.0 for personalized, adaptive learning. Production-ready intelligent tutoring system with retrieval-augmented generation, multi-agent orchestration, and source-cited explanations.

茅塞顿开 - 高中数学智能家教系统 | High School Math Intelligent Tutoring System with RAG-enhanced chat and interactive visualizations

The “AI Tutor: Generating Solutions Using LLM and RAG” project aims to build an intelligent tutoring system that leverages Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). The project utilizes LangChain to structure the interaction between LLMs and vector databases.

Dhyan.AI is an intelligent tutoring system using RL and RAG to provide personalized learning with real-time feedback, custom paths, AI-powered Q&A, and progress tracking.

AI-powered intelligent tutoring system combining Generative AI, Reinforcement Learning, and long-term memory. Uses RAG (FAISS) for accurate responses, adaptive quizzes, and personalized learning with performance tracking.

RAG-powered intelligent tutoring system that uses LangChain, Ollama, and Faiss. Allows uploading of textbooks, and help the student study by provides explanations, generating summaries and questions on demand, etc.

EduMind is an intelligent tutoring system for university-level CSE students, combining Retrieval-Augmented Generation (RAG) with a domain fine-tuned LLM to deliver personalised, curriculum-grounded academic support at scale.

AI-powered Intelligent Tutoring System (ITS) based on "Make It Stick" principles. Features LLM-driven RAG, Socratic tutoring, and Bayesian Knowledge Tracing (BKT). Transforms static PDFs into adaptive learning journeys via automated Active Recall, Spaced Repetition, and project-based simulations for long-term mastery.

An adaptive intelligent tutoring System A novel ITS framework combining Retrieval-Augmented Generation (RAG) for factual accuracy with Reinforcement Learning (RL) mechanisms using Human-in-the-Loop (HITL) feedback to drive personalized, adaptive learning paths

An Explainable AI-driven Intelligent Tutoring System designed to detect semantic and conceptual errors in novice programmers’ code. Unlike traditional auto-graders, this system identifies underlying misconceptions and provides structured, concept-oriented feedback using LLM-based reasoning and Retrieval-Augmented Generation (RAG).

An AI-powered intelligent tutoring system that allows students to upload PDFs and get accurate, context-based answers using RAG. It offers multiple learning modes and adaptive feedback to enhance understanding, exam preparation, and personalized learning in a cost-effective way.

Gyaan-Z is an AI-powered intelligent tutoring system designed to enhance student learning through guided reasoning instead of direct answers. Unlike traditional AI tools, Gyaan-Z integrates Retrieval-Augmented Generation (RAG) with a Socratic prompting approach, encouraging students to think critically and solve problems step-by-step.

RAG-based AI project that converts audio/video content into structured JSON and enables intelligent querying. It includes transcription, preprocessing, and retrieval pipelines with prompt-based response generation. Ideal for building AI tutors, search systems, and knowledge assistants.

AI Study & Career Copilot is a full-stack AI-powered platform that helps students learn smarter with personalized roadmaps, AI tutor, quiz tracking, and progress analytics. It integrates Machine Learning, NLP, Generative AI, and RAG to enable PDF chat and intelligent career guidance in one system.