End-to-end machine learning pipeline for merchant brand and industry classification and banking transaction enrichment, with synthetic data generation, vectorization experiments, and an interactive Streamlit dashboard.
View the Project on GitHub d-daemon/transaction-enrichment-ml
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt
uv run python -m scripts.generate_synthetic_data_with_labels
uv run python -m scripts.train_brand_classifier
uv run python categorize_transactions.py \
--input data/synthetic_raw_transactions.csv \
--output output/enriched_transactions.csv
uv run streamlit run app.py
Open http://localhost:8501.
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