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Document Processing with AI & OCR and Neural Network Application in Financial and Medical Realms adsa


Term:

Fall

Department:

CSAIL: Computer Science and Artificial Intelligence Lab

Faculty Supervisor:

Amar Gupta

Faculty email:

agupta@mit.edu

Apply by:

09/01/2020; earlier preferred; selections made on rolling basis

Contact:

Jonathan Esteban; jesteban@mit.edu

Project Description

Previous research by MIT students led to a broad patent on automated reading and processing of bank checks, a concept now used in many countries. This project aims to develop techniques to reduce the human effort involved in transferring information from diverse media to computers, including ID cards, 1099 and W2 forms, and diverse financial and medical documents. This involves: the detection of the boxes containing the desired information and fields within the box; the separation of material that is in printed and typewritten format versus material in handwritten format so that they can be processed independently with greater automation employed for processing of printed and typewritten material; the classification of the document into one of several categories, each with its own recipe in terms of further processing; and the examination of the document with neural network with respect to potential fraud, security, or other concerns. Artificial Intelligence and Contextual Knowledge will be used to find relevant boxes of information, make preliminary assessment of what the contents of the boxes are, integrate and reconcile the new information with legacy information on computers, and then provide the integrated information for use by financial and medical professionals.

Pre-requisites

Senior and juniors with some background AI & OCR and Neural Network Application preferred.