480planit – Trip Packing Assistant (MLP)

This project uses a Multi-Layer Perceptron (MLP) model to suggest items travelers should bring on a trip.
It takes trip details (destination, season, duration, weather, activities, etc.) and predicts the most likely items needed, grouped by category.

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⚙️ Setup and running the model:

1. Clone the repository:
   git clone https://github.com/OliverMcMillen/480planit.git
2. Configure virtual environment:
   python -m venv .venv
   Activate virtual environment:
   source .venv/bin/activate
3. Delete files in /models directory. These will be regenerated.
4. Install dependencies: pip install -r src/requirements.txt
5. Train the model: Run train_trip_mlp.py 6. The model will be trained on the data in the /data directory.
6. Run the predict_items_script.py to use the model and test predictions. Adjust the example_trip used at the bottom of the script.