About Project
The Bank Statement Analyzer is a transformative project that redefines how financial data is interpreted to support smarter lending decisions. By harnessing machine learning, the system deciphers spending patterns and cash flow trends to predict loan eligibility with unmatched accuracy.
Technologies used
This project combines Python and Flask for robust backend API development with ReactJS on the frontend. A Random Forest classifier was employed to analyze transaction data, ensuring that the insights generated are both precise and actionable.
My Contribution
I engineered the entire solution—from developing APIs that extract and preprocess transaction data from PDFs to integrating the machine learning model for real-time loan predictions. The analyzer not only delivers interactive graphical insights but also provides financial institutions with a powerful tool for data-driven decision making.