refactor: implement network community overview sampling, fix ruff unused import, and untrack ruff cache

ml: retrain XGBoost from scratch + restore original int(proba*99) scoring

fix: calibrate XGBoost risk scores & classify alert queue by tier

UI: Align alert cards risk badges and colors, make export buttons green, customize status dropdown select, and clean overview CTAs

fix: coerce feature columns to float before XGBoost/SHAP, fix alert enrichment skipping score=0

feat: integrate case management with Supabase authentication and storage

feat: Implement caching for API responses and SHAP explanations to improve performance and reduce redundant computations.

changed

Implement ML fraud detection pipeline and interactive graph visualiser

Initial commit: Fund Flow Tracker AML Dashboard