Document Classification Solution for Banking

Model is ready to be put into production and used for document classification, we received 99% of accuracy on the training data and around 90% on the test datasets

Benefits you'll get with this Engine:

• Classifying dozens of different document categories.
• Classification and recognition of handwritten documents and mixed-type document
• A system could automate various document processing tasks which are now performed manually

If you are looking to build an AI & ML solution like this, contact us nazar.savchenko@mindcraft.ai

Technologies used:

Subject: Automated Document Classification with Machine Learning, Data extraction
Data Science areas: Natural Language Processing, Computer vision, Optical Character Recognition
Architectures: Logistic Regression, Random Forests
Tools: Python, Tensorflow, Sklearn, Tesseract