🚀 News Trader — Agentic AI is a tiny end-to-end demo that fetches news 📰, runs simple sentiment analysis 🧠, lets an agentic LLM decide BUY/SELL/HOLD 🤖, and places paper trades via Interactive Brokers 💹 using a cloud-native Docker + Python workflow 🐳. ⚠️ For learning only — not financial advice.

🚀 Hands-on demo for Amazon Bedrock AgentCore — build, connect, and deploy intelligent AI agents using real-world examples powered by Groq LLMs, AWS Bedrock, and Python.

LLM,Agents,Engineering-Hands-on Practice

Demo Python project for testing LLM agents.

The Demos of LLM agent built by Python, Java

A quick ai agent demo using light-weight llm library in Python

Hands-on Python demos for LLM workflows — includes Prompt Chaining, Interactive LLM Apps, and AI Agent experiments.

chatbots-vs-agents is a Python demo that highlights the core difference between a traditional chatbot and an AI agent using the same local LLM (LLaMA 3).

A multi-agent financial coaching system built with Python + JavaScript. Includes Categorization Agent, Pattern Agent, Fixed Spending Agent, Alert Agent, Planner Agent, and Mentor Agent (LLM-powered). Designed for fintech hackathon demos with real-time insights and behavioral nudges.

Interactive ML lesson demos, hands-on Python notebooks, and teaching materials covering Decision Trees, Random Forests, LLMs, RAG systems, and AI agents. Built for university-level teaching demos and ML engineering interviews.

Decoupled AI stack demo — LangGraph agents on Python stream AG-UI events to a CopilotKit + Next.js frontend. Zero LLM code on the frontend; agent state renders as live React components.

Doctor Appointment Multi-Agent Chatbot is a Python and FastAPI-based system that uses LLMs to manage doctor appointments, check availability, and provide medical guidance by intelligently routing conversations between booking, information, and medical agents. Live Demo:

A working demo of Agentic AI using Python and Google Gemini LLM, capable of autonomously generating a ReactJS application. Includes full code, README, and requirements.txt.

A minimal, educational agentic demo showcasing dynamic tool discovery, LLM‑driven function calling, safe parameter parsing, and Python tool execution. Designed as a clean foundation for understanding agentic reasoning and building more advanced AI workflows.

An educational AI Agent demo built with Python and FastAPI, demonstrating safe LLM integration with LangChain, Google Gemini, and RAG. Code generation was assisted by GitHub Copilot (Claude Sonnet).

A ReAct Agent that works with any model from multiple providers and comes with a built-in MCP Client. Powerful business analysis demos using purpose built demo MCP servers. Uses langchain for LLM connectivity in Python.

A projekt egy Python-alapú “trading debate” demó app, ahol egy technikai és egy fundamentális LLM-agent vitázik egy megadott részvény várható irányáról valós piaci adatok alapján. Amint STRICT konszenzus születik, egy 3. agent készít végső értékelést kulcsérvekkel, kockázatokkal és megfigyelési pontokkal. Oktatási célú, nem befektetési tanács.

Simple demo of how a Python AI agent can employ the ReAct (Reason-Action) design pattern, an Open AI LLM, Azure AI Speech services, and an MCP server to handle customer interaction with a bank's call center.

# Frontdesk Human-In-The-Loop (HITL) System Demo This project is a minimal, modular "human-in-the-loop" answering system for a modern salon frontdesk. It uses Firebase Realtime Database, Python (AI agent), Node.js (Supervisor UI), and can easily integrate with cloud LLM APIs like OpenAI.

ClifHouse is a real-time multi-agent AI simulation: 9 LLM-driven residents share a cliffside house, making decisions, texting, posting, and reacting to news. Built with Python + FastAPI/WebSockets, Pydantic world state, and a React/Vite 60fps isometric canvas UI. Demo mode works without API keys too.