Web scrape Posit Conf 2025 agenda and build an LLM-powered shinychat app with ellmer and ragnar. App is published by Posit PBC at the link below.

⚡️ Local RAG API using FastAPI + LangChain + Ollama | Upload PDFs, DOCX, CSVs, XLSX and ask questions using your own documents — fully offline!

Mobile-first frontend for TaskWizard — a smart AI-powered task breakdown planner. Built with Expo + React Native, connecting to a FastAPI + Ollama backend to generate actionable step-by-step roadmaps from any goal.

LLM playground for ellmer

Multi-model AI assistant built using Gemini API and Streamlit.

REFRAME helps you rewrite workplace feedback and everyday messages with the right tone — empathetic, constructive, or persuasive — powered by free LLMs via OpenRouter.

A type-safe graph execution framework built on top of OpenLit for LLM pipelines

ggbot2 remixed into diagrambot for rapid mermaid and graphviz diagram creation and iteration

Shiny app that allows users to select the complexity level of an explanation for a given question. Inspired by 5 levels the Wired video series: https://www.youtube.com/playlist?list=PLibNZv5Zd0dyCoQ6f4pdXUFnpAIlKgm3N

This repo builds a Streamlit-based app that converts natural language queries into SQL using Gemini Pro, enabling real-time interaction with a live SQL database.

A Retrieval-Augmented Generation (RAG) chatbot using OpenAI GPT-3.5 and Streamlit.

LLM-powered roleplaying shinychat game built with ellmer

Python version of diagrambot for rapid mermaid and graphviz diagram creation and iteration

A lightweight, modular Retrieval-Augmented Generation (RAG) system built with Streamlit, FAISS, and LLMs like OpenAI and Ollama. Upload documents, embed them, and ask intelligent questions with real-time context-aware responses.

A server-client application that uses Ollama to do grammar fixing and translation for entire chapters.

A no-code AI-powered writing assistant that helps users generate creative stories, poems, and essays — built using HuggingChat and hosted on Hugging Face.

A conversational Form-Filling Agent built using LangGraph and LangChain. It interactively collects user information such as name, age, and email. The agent manages conversation state across turns and intelligently prompts the user for any missing details in a natural, chatbot-style flow.