Carbon Route Assistant (Terminal Version)

A local AI-powered assistant that lets you enter natural language queries like:

"I want to go from Alexanderplatz to Grunewald at 17:00"

It then:

• Parses your query using a local LLaMA3 model via Ollama
• Fetches real-time public transport journeys from the VBB API
• Calculates CO₂ emissions per journey using segment distances and transport mode
• Generates a natural language summary and recommendation
• All inside your terminal, without sending data to the cloud

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Requirements

• Python 3.8+
• Ollama installed and running
• A CPU-capable LLM (like llama3) pulled via Ollama

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Setup

1. Create a virtual environment

python3 -m venv venv
source venv/bin/activate  

2. **Install dependencies**

```bash
pip install -r requirements.txt

3. Pull the model with Ollama

ollama pull llama3

4. Run Ollama in background

ollama run llama3

5. Run the main

python main.py

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