Flask app for tracking expenses securely. Features authentication, transaction management, and insightful analytics for informed financial decisions.

Analyzing Personal Expenses - This project uses Faker library to simulate an expense tracker, storing monthly data in a SQL database. A Streamlit app visualizes spending insights across categories like bills, groceries, and subscriptions for a year.

A containerized financial analytics platform applying Isolation Forest to detect anomalies with 80% precision across 10,000+ transactions, using REST APIs for data retrieval and visualization (∼2.5 s response).