Develop a Rule-based Entity Recognition Model for Unstructured Data in Artificio Platform

Preparing and analyzing unstructured data from various documents (e.g. leasing agreements, engineering
drawings, etc.) is time consuming and difficult task for any organization or businesses. Artificio platform developed/created by ERP Solutions2go (dba BizTech2Go) will help the businesses or enterprises in automating this tedious process, the manual data entry process , and seamlessly integrate the same into their ERP Systems. Artificio platform will leverage various AI/ML methods and techniques for text detection, text recognition and entity extractions. Artificio will provide very simple UI backed by the pretrained models for different applications in different industry sectors so that users can adapt the AI/ML models with zero development or zero code. The deliverable will be a Rule-based Entity Recognition Model for Unstructured Data and Present LayoutLMv2 by pre-training text, layout and image in a multi-modal framework, where new model architectures and pre-training tasks are leveraged.

Faculty Supervisor:

Abbas Sayyad

Student:

Partner:

BizTech2go

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Lambton College

Program: