gopiashokan/Financial-Document-Classification-using-Deep-Learning
Engineered an advanced deep learning model to automate the classification of financial documents, including Balance Sheets, Cash Flow and Income Statements using Bidirectional LSTM and TensorFlow. The model achieved an impressive accuracy of 96.2%, enhancing efficiency and reducing errors in document management for the finance and banking sectors.
This project helps finance professionals, banking operations, and accountants automatically sort financial documents like Balance Sheets, Cash Flow statements, and Income Statements. You provide it with various financial documents (as HTML files), and it classifies them into their correct categories, saving time and reducing manual errors in document management.
No commits in the last 6 months.
Use this if you need to quickly and accurately categorize a large volume of financial reports and statements.
Not ideal if your documents are in a format other than HTML or if you require classifications for non-financial document types.
Stars
10
Forks
3
Language
HTML
License
MIT
Category
Last pushed
Jul 19, 2024
Commits (30d)
0
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