Title:
Auditing a priority one call for ECCs
Agreement Number:
1027940
Agreement Value:
$68,200.00
Agreement Date:
Apr 1, 2025 - Feb 28, 2026
Description:
This project aims to automate and optimize the auditing process using speech recognition and NLP techniques to transcribe and analyze calls, compare transcriptions with CAD event logs, and ensure proper identification of entities. The system will leverage police-specific vocabulary, RAG-based LLMs, and adaptive learning to improve accuracy while defining the level of human supervision needed through Human-in-the-Loop (HITL) methods.
Organization:
National Research Council Canada
Expected Results:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Location:
Niagara Falls, Ontario, CA L2G 0M5
Reference Number:
172-2024-2025-Q4-1027940
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
127598233
Recipient Type:
For-profit organization
Recipient's Legal Name:
Mobile Innovations Corporation
Federal Riding Name:
Niagara Falls
Federal Riding Number:
35067
Program:
Industrial Research Assistance Program – AI Assist
Program Purpose:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Coverage:
The AI Assist program is designed to help innovative SMEs navigate the challenges of developing and adapting generative AI (GenAI) and deep learning (DL) solutions and to assist SMEs with awareness, planning and execution in order to develop these technologies safely and ethically.