RAG System · Python

medical-mcq-generator

Muhammad Iqbal Rahmatullah@iqbal-rahmatullah · Atlas 60.8 · #13= builder

View on GitHub Open Muhammad Iqbal Rahmatullah's Atlas

What it is

A FastAPI-based retrieval-augmented generation system for creating medical multiple-choice questions, featuring hybrid BM25 and MedCPT retrieval, LLM-based question generation, and multi-faceted LLM verification.

Scored from the code at its last scan, 27 Oct 2026. How merit is scored

Where it counts

Machine Learning85%
NLP & LLMs85%
Data Science20%
MLOps10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Machine Learning board

Whole board

RankProjectBuilderFieldMerit

32, shared rankfresta-edgeML Application · PythonFRSTA-EDGE is a Python script that generates domain-specific evaluation lenses using a three-order structural analysis framework, leveraging Wikipedia/web scraping and a local LLM to produce weighted metrics, interdependency maps, systemic stress factors, and buyer profiles.57.4/100ImplementationTiago SantosMachine Learning
32, shared rankklinicka-knowledge-baseRAG System · HTMLThe repository provides a Czech healthcare knowledge base (669 units) with a Retrieval-Augmented Generation API for decision support in ambulatory care, including data collection pipelines, embedding-based search, caching, rate limiting, and Docker-based deployment.57.4/100ImplementationPetr SovadinaMachine Learning
32, shared rankmines-livive-netTraining Experiment · JavaScriptThis repository provides a training and evaluation pipeline for reinforcement learning agents applied to the 8x8 Minesweeper game. It includes custom game environment, model architecture, training scripts (behavior cloning and REINFORCE), evaluation tools, and generates…57.4/100ImplementationJarad PeckenpaughMachine Learning
32, shared rankmedical-mcq-generatorRAG System · Python57.4/100ImplementationMuhammad Iqbal RahmatullahMachine Learning
37chtbx-livive-netML Application · PythonThis repository provides a complete workflow for zero-shot voice cloning using the Chatterbox TTS library to generate web-optimized audio clips. It includes tools for recording reference audio, synthesizing speech, normalizing audio levels, and encoding output for deployment on…56.7/100ImplementationJarad PeckenpaughMachine Learning

What it is

Where it counts

Around it on the Machine Learning board

More from Muhammad Iqbal Rahmatullah