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  4. Recognic console

Recognic console

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201811080.pdf (464.49 KB)

Date

2020

Authors

Mehta, Kavisha

Journal Title

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Abstract

Users leave behind a large amount of data in digital footprints across different channels of engagement & consumption of products & services. Enterprises & governments are investing to adopt technology for efficiently extracting meaningful information from documents that are collected at the source. Traditionally this has been back-office operations & the turnaround time has been spread from a few days to several weeks for absorbing this information & performing certain logical analysis. Recognic identifies, understands & validates the information in various formats from complex document structures&simplifies digital document processing. Recognic is the future of indexing, organizing, storing & extracting intelligence from the documents. The product is designed to understand and extract useful information from complex document structures & parse the information in an easy to ingest JSON, XML, CSV format, or any other legacy databases. It also comes bundled with a smart analytics component to give extraction confidence insights on the documents parsed through it. Hence this M-Tech Project is focused to build a smart analytics dashboard that helps in providing a connected user-experience on top of the core API Product.

Description

Keywords

Vision OCR, Analytics, Data Pipeline, API, Database Connectors

Citation

Mehta, Kavisha (2020). Recognic console. Dhirubhai Ambani Institute of Information and Communication Technology. vii, 34 p. (Acc.No: T00900)

URI

http://ir.daiict.ac.in/handle/123456789/985

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M Tech Dissertations

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