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.
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)
PHP Frontend for Hosting local LLM's (run via VSCode or basic php execution methods/ add to project)
A Chrome extension with Python backend that uses Ollama LLM to provide contextually enhanced responses about web content through a chat interface.
Python application that uses local Ollama LLM models to give advice on results found from HIBP (Have I Been Pwned) API
A local AI chatbot built with PyQt5 and LLaMA 3 (via Ollama). Fully offline, fast responses, smart character modes, and a polished UI.
A kanban board built with Deno, Sortable and Shoelace Web Components. 100% HTML/JS. Rapidly becoming the front-end for local AI "Assistant" initiation, context and task tracking. Being developed with Runa, a local LLM runtime. Uses sqlite3 / DenoKV.
Multi-agent AI system using CrewAI and Ollama to automatically research, write, and review beginner-friendly Python tutorials
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.
Project demonstrates an agentic Retrieval-Augmented Generation (RAG) application built using CrewAI and Streamlit.
☕ 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.
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