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.
- M Tech Dissertations