Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, JSON, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.
python json scikit-learn jupyter-notebook fintech openai naive-bayes-classifier html-css-javascript decision-tree-classifier svm-classifier smote emailjs random-forest-classifier streamlit xgboost-classifier pickle-file supabase pillow-library rag-pipeline qwen3-32b
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Updated
Aug 8, 2026 - Jupyter Notebook