Review dining spending
Basis
Recent expense categories indicate dining is a meaningful area to review.
Focus · Dining
mega-smart
by
Nency Chovatiya
Nency Chovatiyai want to build smart expense analyzer Smart Expense Analyzer is an AI-powered personal finance application that analyzes a user's expenses and provides meaningful spending insights. It automatically categorizes transactions, tracks budgets, identifies unusual spending using Machine Learning (Isolation Forest), and generates simple AI-based recommendations. The system uses Python, FastAPI, SQLite, Streamlit, Pandas, Plotly, and LLMs to provide an interactive and intelligent expense-management experience.
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AI recommendations
SmartMoves.
Every move below comes from a review of your spending patterns — not a template. Open a card to see what was noticed and what is worth a second look.
Pattern poweredYour next movesread the trail
Each recommendation below is paired with the spending basis it was drawn from and the focus area it points at.
3 recommendationsReview recurring subscriptions
Basis
Recurring expense entries can be checked for services that are still useful.
Focus · SubscriptionsPlan transport spending
Basis
Transport expenses can be compared with the spending pattern shown in the app.
Focus · Transport
Preview dataChanges stay in this preview.
mega-smart AI expense analyzer
SpendSmarter.
- Automatic transaction categorization powered by AI
- Real-time budget tracking against your targets
- Unusual-spending detection with Isolation Forest
- Simple AI-based recommendations for smarter spending
CATEGORIZETRACKSPOT THE UNUSUALGET RECOMMENDATIONSCATEGORIZETRACKSPOT THE UNUSUALGET RECOMMENDATIONS
How mega-smart thinks
Four ways mega-smart makes sense of your money
From the moment a transaction lands, mega-smart categorizes it, checks it against your budgets, watches for anything strange, and turns the patterns into recommendations you can use.
Auto-Categorized
Every transaction is sorted into a spending category automatically, so you always know where the money went without lifting a finger.
Budget Tracking
Set targets per category and watch a live gauge show how close you are to the line before the month runs out.
Isolation Forest Detection
A Machine Learning model flags spending that breaks your normal pattern, so surprise charges get surfaced fast.
AI Recommendations
LLM-informed suggestions translate your patterns into plain-language moves you can actually act on.
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