|
--- |
|
title: IPMentor Exercise Generator |
|
emoji: π― |
|
colorFrom: yellow |
|
colorTo: red |
|
sdk: gradio |
|
sdk_version: 5.33.1 |
|
app_file: app.py |
|
pinned: false |
|
license: mit |
|
short_description: Agentic subnetting exercise creator with validation |
|
tags: |
|
- Agents-MCP-Hackathon |
|
- agent-demo-track |
|
- networking |
|
- education |
|
- exercise-generator |
|
- mistral |
|
- agentic-ai |
|
- ipv4 |
|
- validation |
|
--- |
|
|
|
# IPMentor Exercise Generator π― |
|
|
|
**Intelligent subnetting exercise creator** that demonstrates the power of **agentic AI systems** for educational content generation. Built for the **Gradio MCP Hackathon 2025** Track 3: Agentic Demo Showcase. |
|
|
|
## π€ Agentic AI Showcase |
|
|
|
This application demonstrates a sophisticated **multi-agent workflow** where AI agents collaborate through the Model Context Protocol (MCP) to create, validate, and refine educational content automatically: |
|
|
|
1. **Content Generation Agent** (Mistral Medium 3) creates realistic networking scenarios |
|
2. **Validation Agent** uses IPMentor MCP tools to verify mathematical accuracy |
|
3. **Correction Agent** automatically fixes invalid exercises using smart algorithms |
|
4. **Visualization Agent** generates network diagrams for each exercise |
|
|
|
## π Competing for Mistral AI Choice Award |
|
|
|
This project showcases **Mistral Medium 3** as an intelligent content creation engine, demonstrating how advanced LLMs can generate contextually rich, educationally valuable content while leveraging specialized tools for validation. |
|
|
|
## π₯ Demo Video |
|
|
|
Video demonstration: [assets/demo.mp4](assets/demo.mp4) |
|
|
|
## π Integration with IPMentor Ecosystem |
|
|
|
- **MCP Server**: [IPMentor](https://huggingface.co/spaces/Agents-MCP-Hackathon/ipmentor) |
|
- **Source Code**: [GitHub Repository](https://github.com/DavidLMS/ipmentor) |
|
- **Chatbot Demo**: [IPMentor Chat](https://huggingface.co/spaces/Agents-MCP-Hackathon/ipmentor-demo) |