Looking for only US Fullstack developer
Budget: $750 – $1,500 USD
We are looking for someone to build a OCR text and table document data extraction underwriting software. All policies start with a policy application with drivers and vehicles. All drivers have a driver's license or Identification card and all cars have a registration card. This software needs to compare the policy application data from the drivers and vehicles documents. This must be done using Amazon extract/OCR and webhost.
Pleae take consideration this needs a super admin functions and with an API integration with zapier. The first step will be to get all the data from each document type into one database table. Then we need to analyze each document by comparing it to other documents in the same database table. We need to find patterns in the data so that each document can be categorized as either:
1) Good Policy (GREEN)90-100% - this means it has not been flagged under any rules, but the applicant may still need additional information inputted before they qualify for coverage
2) Bad Policy (YELLOW)- this means there are errors in the application that need to be corrected before you can approve it
3) Late Policy (RED)- this means there is no way you can approve this application because of some specific reason
4) Reject Policy (BLACK)- this means there is no way you can approve this application because of some specific reason
35 pages
What other OCR method will you replace amazon textract?
https://www.memo.ua/clients/crm/006.html
Pleae take consideration this needs a super admin functions and with an API integration with zapier. The first step will be to get all the data from each document type into one database table. Then we need to analyze each document by comparing it to other documents in the same database table. We need to find patterns in the data so that each document can be categorized as either:
1) Good Policy (GREEN)90-100% - this means it has not been flagged under any rules, but the applicant may still need additional information inputted before they qualify for coverage
2) Bad Policy (YELLOW)- this means there are errors in the application that need to be corrected before you can approve it
3) Late Policy (RED)- this means there is no way you can approve this application because of some specific reason
4) Reject Policy (BLACK)- this means there is no way you can approve this application because of some specific reason
35 pages
What other OCR method will you replace amazon textract?
https://www.memo.ua/clients/crm/006.html