Open source CLI agent that generates complete lesson bundles in your teaching voice. 48+ tools, zero-touch 9-file output, local-first privacy.

Proof-of-concept behavioural analysis system for early detection of dyslexia and ADHD using spelling pattern evaluation, sentence rewriting similarity analysis, and keyboard/mouse interaction monitoring.

🎓 StudyAlpha is an intelligent, end-to-end AI Study Coach powered by multi-agent collaboration, memory-augmented reasoning, adaptive quizzes, and ML weakness prediction. Built for the Google × Kaggle Agents Intensive — Freestyle Track. 💡 Personalized plans • 🧠 RAG memory • 📝 Quizzes • 📊 ML evaluation • ⚙️ Streamlit UI

Brahm-Ai source code, modules & updates

[学来学去学习社] 小菲学姐文科辅导 - UCL文科学霸陪你学诗词作文英语

A Capstone Project Demonstrating LLM-Powered Agents, Parallel Execution, Session Memory, Observability & Long-Running Operations

Service for generating structured scoring dimensions from problems, answers, and score metadata.

🚀 A universal system prompt template to turn Gemini/ChatGPT into an expert engineering exam tutor. Features: Image-based problem generation, handwriting correction, and auto-scheduling. (🚀 通用型工科考试 AI 助教指令模版。将 Gemini/ChatGPT 转化为专家助教，支持看图出题、手写批改及自动复习规划。)

Explainable educational recommendation prototype using knowledge graph reasoning and GNN concepts, accompanying a published patent.

AI-assisted assignment evaluation system using LLMs and retrieval-based reasoning with human-in-the-loop review.

[学来学去学习社] 浩云学长理科辅导 - UCL理科学霸陪你战数学物理化学编程

Workflow-based intelligent question generation system with validation, scoring, and retry loops.

OCR integration service focused on English handwriting and deployment-friendly simplification.

Generate structured AI/ML micro-courses from any topic using LLMs — modules with learning objectives, concept explanations, code examples, and auto-graded quizzes.

AI interview preparation platform — role-specific Q&A generation (technical/behavioural/system design), STAR framework evaluation, adaptive difficulty, and weakness tracking.

A professional-grade Retrieval-Augmented Generation (RAG) system designed for intelligent question-answering over NCERT textbooks of Class 11 and 12. This project integrates LangChain, Qdrant vector store, Dockerized LLM backend using Ollama, and PDF data pipelines to deliver accurate and contextual answers to academic questions.

Retrieval-Augmented Q&A system for high school Social Studies, fine-tuned using QLoRA and deployed with FastAPI.

Transforms lectures, PDFs, or URLs into structured Markdown notes via LLM summarisation. Three output depths: headline, paragraph brief, and full annotated notes.

AI-powered DSA tutor using Gemma 3 — step-by-step algorithm traces, Big-O derivations via recurrence relations, multi-language code generation, and adaptive practice problems.

AI-powered adaptive testing engine using FastAPI, MongoDB, and IRT-based difficulty adjustment.