Create a private expense analysis application that helps users discover recurring patterns behind their spending without judging individual purchases.
Allow users to import transaction CSV files and optionally annotate purchases with context such as planned versus unplanned, purchase purpose, urgency, and satisfaction after buying.
Build:
A spending timeline with category and merchant filters.
A detector for recurring small expenses that accumulate over time.
A comparison of planned and unplanned spending.
A review of purchases followed by refunds, returns, or unused subscriptions when those details are available.
A configurable spending pattern explorer by day, category, and transaction size.
A user-defined reflection journal for recording purchase context.
A scenario calculator showing the possible impact of changing selected habits.
An exportable monthly review.
Never infer emotions or psychological conditions from transaction records. Treat annotations as optional, keep the data private by default, and distinguish observed patterns from explanations supplied by the user. Include a synthetic dataset and transparent calculations.
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