This is a repository for the course "From Beginner to LLM Developer" by Towards AI.

Offline voice-interactive AI tutoring system on Raspberry Pi 5. Whisper ASR + Llama 3.2 3B + Piper TTS + RAG (ChromaDB + fastembed ONNX). Fully on-device, no cloud required. ~1.74s chat TTFT, ~10.94s RAG TTFT.

EduAgent is an AI-driven educational platform leveraging LangGraph agents and RAG to convert static documents into dynamic, personalized tutoring environments. The system utilizes principles of active recall to automatically generate adaptive study plans, interactive quizzes, flashcards, and semantic mind maps from course materials.

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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.

Go-based programming education backend with AI tutoring (RAG + SSE streaming), online code execution, real-time WebSocket collaboration, and gamified learning system.

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RAG-powered AI tutor system using FastAPI, OpenAI embeddings, and vector similarity search.

ZZChat is a dual-purpose AI system combining a RAG-based technical tutor and an image classification model

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

AI Tutoring System using Retrieval Augmented Generation (RAG). Stack: Python, Streamlit, Docker, AWS, LangChain, HuggingFace, FAISS Vector DB, and FlashRank. Includes comprehensive MLflow experiment tracking.

A multilingual RAG system built for the 10 Minute School AI Engineer assessment. Functions as an AI tutor for the HSC Bangla text 'Oporichita', powered by LangChain and Google Gemini.

LUNA is an AI-driven IoT system that acts as a personal tutor, using NVIDIA-powered AI and the "llama3-8b-instruct" model. It communicates via WebSocket-based P2P connections, with plans to shift to MQTT protocol and integrate Retrieval-Augmented Generation (RAG) with LangChain for enhanced responses.

RAG system for an AI tutor app

AI Tutor - RAG system with its personal knwolege base.

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Complete AI Tutor with RAG, STT, TTS, and animated mascot Features: - RAG pipeline with LangChain + FAISS + Google Gemini - Speech-to-text (Google Speech Recognition) - Text-to-speech (Web Speech API) - Animated mascot with 7 emotions - Multi-turn conversations - 100% FREE implementation"

AI School: Next.js app with RAG-powered tutoring system

An AI tutor system for CS 408 exam using RAG and Graph-RAG

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AI Tutoring system with RAG pipeline, Google Gemini AI, and visual learning

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

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

Production-Grade AI Tutor System with RAG, Voice Teaching, and Multi-Classroom Management

An Agentic-RAG system for a local AI math tutor using Ollama, FastAPI, and React.

AI-powered tutoring system using RAG, adaptive quizzes, and performance tracking with Streamlit and SQLite

A Personalized Bengali RAG Tutor with Agentic Memory, an AI-driven system for Bengali literature education

InferaMind AI is a scalable ML tutoring system built with LangChain, LangGraph, and RAGAS evaluation pipelines. Features an embeddings-based query classifier, FAISS vector search, real-time SSE streaming, JWT auth, and a React frontend. Includes 40+ tests with CI/CD. Fully local via Ollama — no external APIs. Docker-ready with GPU support.