Accountant Priv Assistantv1.0.0

User asks about specific transactions, such as 'Which card is Netflix charged to?' The assistant runs find_merchant.py to locate the merchant across all card databases and returns the card name, last payment amount, and date. This scenario is common in personal finance management for individuals tracking subscriptions.

User requests a monthly overview like 'How much did I spend this month?' The assistant executes monthly_summary.py to aggregate income, bank expenses, card payments, and net cash flow. Useful for users monitoring their budget and cash flow each month.

User wants to analyze spending in a category, e.g., 'Show all restaurant expenses this month.' The assistant runs a SQL query on the appropriate database with GROUP BY and filters. Helps users identify spending patterns and adjust habits.

User asks 'Find all streaming payments.' The assistant uses find_merchant.py with multiple keywords to identify recurring charges across cards and banks. This is valuable for users to review and manage subscriptions.

User inquires 'Where did I spend the most money last month?' The assistant queries multiple databases to aggregate spending by merchant, sorting by total amount. Helps users identify major expense categories and merchants.

Offer basic financial queries (recent transactions, simple summaries) for free to attract users. Charge for advanced analyses, like detailed category breakdowns or multi-month trends. Revenue from subscription fees.

Partner with banks or credit card companies like Hapoalim, Isracard, and Max to promote their services within the assistant's recommendations. Earn commissions on new account sign-ups or card applications. Embed contextual offers for financial products.

Provide personalized financial reports and recommendations (spending trends, savings opportunities) to users on a subscription basis. Target users who want proactive advice, such as alerts for unusual spending or suggestions to reduce subscriptions. Revenue from recurring payments.