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This GitHub project serves as a central hub for the DevSecOps initiatives at ACIA/CFIA AI Lab, streamlining integration and deployment processes through automation. It encompasses various repositories featuring workflows to automate development and operational tasks.
Started on Apr 23, 2024
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Due by May 07, 2024
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#7 updated Oct 24, 2025
Nachet Interactive is a web application developed to assist CFIA seed analysts in identifying regulated weed seeds quickly and accurately. It combines digital microscopy with computer vision models hosted on AzureML to streamline the seed inspection process.
Started on May 07, 2024
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Due by Jul 01, 2024
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#4 updated Oct 19, 2025
FertiScan is an interactive web application developed to assist CFIA fertilizer inspectors in reducing the time it takes to extract text from labels and centralize data storage for easier access. It combines Azure's OCR extraction and AI-powered text processing to extract and classify the inscribed.
Started on Mar 05, 2025
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Due by Mar 18, 2025
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#15 updated Oct 10, 2025
Enhancing agricultural biosecurity by generating reports from iNaturalist data to inform CFIA analysts about the spread of invasive insects in North America.
The Louis project by CFIA AI Lab integrates OpenWeb UI with Ollama and LLM APIs, creating a reliable conversational agent that can access both public and private knowledge bases, delivering accurate and relevant information across the organization.
Started on May 06, 2024
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Due by Dec 31, 2024
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#16 updated Apr 2, 2025
Finesse is an advanced search engine tailored specifically for retrieving public documents related to the CFIA. It operates beyond keyword searches, employing semantic analysis to understand user queries and provide relevant results. Finesse offers a superior alternative to Guidance Finder.
Started on May 06, 2024
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Due by Dec 31, 2024
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#9 updated Mar 6, 2025
Automating the update of the Federally Inspected Slaughter Data dashboard with monthly ADH-717 reports on Poultry and Red Meat Condemnations in Federally Registered Establishments.