Bank Statement Analyzer

Business Use case

Loan and Insurance providers ask their customers to submit bank statements toextract
key information like salary, expenditures, and so forth. Problem is, all thebanks have
different structures and patterns and the document is submitted in aPDF format.
Extracting the relevant information then becomes a manual task.Moreover, you can’t the
user to enter bank details and credentials as a result youcan only accept the relevant
documents in PDF format.

Client

Proof of Concept for a leading FinTech company in India.

Use cases solves

1. Table Detection and Extraction: Extract the tabular content out of the PDFdocument.
2. Expenditure Classification: Predict if a particular expenditure is a salary,personalexpense, or any other pre-defined category.
3. Credit Score Calculation: Call the company-owned APIs to predict the creditscore ofthe individual.

Technologies Used

Python, C/C++, Django, OpenCV, Scikit-learn, Tesseract.