3 Commits

Author	SHA1	Message	Date
andy	3f8b1d9056	Add implementation plan with 21 tasks across 6 phases ... Covers: project setup, database models, CSV import pipeline with description normalization, rule-based categorization engine, spending analysis/recurring detection/forecasting services, PySide6 desktop UI with import wizard/transactions/analysis/recurring/settings views, dark/light theming, and integration testing. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-10 14:17:03 -05:00
andy	0e1013c673	Update design with real CSV format analysis and household details ... Adds known source formats (Chase credit card with headers, Wells Fargo checking headerless), description normalization strategy, cross-account transfer detection, source category hints, household income sources, and sample categorization rules based on real transaction data. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-10 14:05:51 -05:00
andy	a1d550d1e0	Add spending analysis app design document ... Captures the full v1 design: CSV import with auto-mapping, rule-based categorization (extensible for AI), household member attribution, spending trends, category breakdowns, recurring charge detection, and forecasting. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-10 14:02:55 -05:00