Enhancing Food Safety and Quality: Implementing Advanced Machine Learning and Data Analytics to Develop Predictive Models for Best-Before Dates

Griffith Foods, a recognized leader in food science and innovation with a rich history in enhancing food safety and quality, is focusing on the project “Enhancing Food Safety and Quality: Implementing Advanced Machine Learning and Data Analytics to Develop Predictive Models for Best-Before Dates” in Canada. This initiative aims to improve the accuracy of best-before date predictions for its sauces and dressings by utilizing advanced artificial intelligence and data analysis techniques. The predictive model will take into account various factors such as ingredients, packaging specifications, and storage conditions. The project seeks to reduce food waste, enhance inventory management, and improve product safety, while reinforcing Griffith Foods’ commitment to sustainability and environmental responsibility. By ensuring the highest quality and safety of its products, this initiative is expected to enhance customer satisfaction and strengthen the company’s brand reputation in the Canadian market. Additionally, it aligns with ongoing efforts in the Canadian food industry to minimize waste and encourage innovation in food science, contributing to a more efficient food system in the country. Through this project, Griffith Foods aims to develop practical solutions that benefit both the organization and the broader community.

Faculty Supervisor:

Jeziel Vidad;Tenzin Jinpa

Student:

Partner:

Griffith Foods Ltd.

Discipline:

Computer science

Sector:

Manufacturing

University:

Centennial College of Applied Arts and Technology

Program: