AgriHubi - AI analysis and categorization

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AgriHubi - AI analysis and categorization

Project goals:

  • Farmers’ competence network AgriHubi, together with Maaseutuverkosto maintains a collective platform for rural developers.
  • The goal was to provide a service that automatically categorizes and summarizes uploaded documents, with the categories retrieved from the rural network, to enhance the quality of information cards and improve user satisfaction.

Solution:

  • Azure based GenAI & AI OCR solution able to handle various document types and formats
  • Automatic document summarization, language detection and category selection
  • Service API was built using .NET8 and ASP.NET Core Minimal API

Results:

  • Reduced manual steps for document categorization, leading to significant time savings and enhanced categorization quality
  • Delivered as an easily integrated service within the customer’s existing system, supporting efficient production use

This project has supported low barrier service building – new submission interface eases documents’ submission for rural developers and supports building a large knowledge reservoir for rural entrepreneurs.

– Susanna Lahnamäki-Kivelä, AgriHub, Natural Resources Institute Finland

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Aappo Pulkkinen
Principal Data Scientist

Aappo Pulkkinen