Fleet Management AI Agent

This project is a simple AI agent that monitors a fleet of vehicles and detects potential issues using Nvidia Nemo NIM.

Setup

1. Create a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

2. Install dependencies:

   pip install -r requirements.txt

Usage

1. Generate mock data:

   python3 -m src.simulation.data_generator

2. Run the agent to check for issues:

   python3 -m src.agent.fleet_management_agent

3. Run the dashboard:

   streamlit run src/dashboard/app.py

Project Structure

• data/: Contains the mock data for the vehicles.
• src/:
  • agent/: Contains the AI agent logic.
  • dashboard/: Contains the Streamlit dashboard application.
  • simulation/: Contains the data generation script.
  • utils/: Contains utility functions (currently empty).
• .gitignore: Specifies which files to ignore in Git.
• README.md: This file.
• requirements.txt: Lists the Python dependencies.