mega-smart
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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Expense ledger
3 categorized · 3 total
Green Market
DateJan 18, 2026CategoryGroceries$64.20City Transit
DateJan 17, 2026CategoryTransport$18.00Stream Club
DateJan 16, 2026CategoryEntertainment$12.99
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
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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