Chatbot UI powered by local LLaMA3 using Ollama + Streamlit. 100% offline, no API keys needed.
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Updated
May 10, 2025 - Python
Chatbot UI powered by local LLaMA3 using Ollama + Streamlit. 100% offline, no API keys needed.
An AI chatbot built with DeepScaleR and deployed locally using Ollama, FastAPI, and Gradio.
Video Summarizer using Local LLM (facebook/bart-large-cnn). Submit a YouTube URL and get an AI-generated summary of the video.
A high-performance task queue management system for Ollama models, built in Go.
AI-powered Bash terminal built with Python, Tkinter, tkterm, using local LLM through LMStudio for natural language command generation; features whitelist/blacklist management, intuitive interface.
python SDK for CZero Engine (API endpoints usage examples)
Kairos: An autonomous development supervisor powered by Context Engineering. It provides a living memory and a contextual constitution for your projects to prevent AI context loss.
PHP Frontend for Hosting local LLM's (run via VSCode or basic php execution methods/ add to project)
ResumeRefine AI is a state-of-the-art tool that enhances your resume to align perfectly with job descriptions. It analyzes and refines your resume content, ensuring it matches the key requirements of your target job. This application streamlines the process of resume customization, giving you a competitive edge in your job search.
Zsh-centric command-line interface for interacting with local Large Language Models (LLMs). Chat directly on the command line with non-contiguous command line calls.
☕ AI-powered assistant that answers Starbucks-related questions using real reviews, used LLaMA3:Instruct, LangChain, and Ollama , RAG & also Includes real-time Starbucks location lookup, runs fully offline (except for Maps), and styled with a cozy, coffee-themed UI.
DocuChat is a document chat application that allows you to have conversations with your documents, powered by a serverless vector database for scalable, efficient retrieval. Upload your files and ask questions in natural language to get answers based on their content.
Local Autopilot-style support ticket classifier: Jinja template + JSON Schema guardrail; outputs UiPath XAML, C# and JS stubs. Works with LM Studio or Ollama.
Project demonstrates an agentic Retrieval-Augmented Generation (RAG) application built using CrewAI and Streamlit.
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