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Document Processing with AI & OCR and Neural Network Application in Financial Realm


Term:

Spring

Department:

CSAIL: Computer Science and Artificial Intelligence Lab

Faculty Supervisor:

Amar Gupta

Faculty email:

agupta@mit.edu

Apply by:

ASAP; preferably 2/13 for pay; and 2/25 for credit

Contact:

Please send short resume listing relevant qualifications and experience to agupta@mit.edu; (617) 253-0418

Project Description

A substantial percentage of paper documents are still read by human eyes before further processing. The research project involves work on: 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. Further, Artificial Intelligence and Contextual Knowledge will be used to enhance the process of finding relevant boxes of information and making preliminary assessment of what the contents of the boxes are.

Pre-requisites

EECS background in one or more areas listed here. Ability to devote at least 10 hours per week. MULTIPLE POSITIONS.