Faculty of Engineering and Computing

Dun & Bradstreet’s ‘Best Use of AI & Machine Learning’ Award at Final Year Projects Expo 2025

14/05/2025

Dun & Bradstreet holds the world’s largest commercial database, comprising over 600 million records sourced from 30,000 data providers and refreshed five million times each day. In Dublin, teams are leveraging modern technology stacks to build world-class engineering capabilities and deliver flexible, scalable solutions through a cloud-first approach. For nearly 200 years, Dun & Bradstreet has enabled clients and partners to thrive by harnessing the power of data, analytics, and insight-driven solutions. With a global team of over 6,000 professionals, the company remains a trusted leader in business decisioning data, providing critical insights across all stages of the business lifecycle. As it undergoes an exciting transformation, Dun & Bradstreet continues to redefine the way it works and collaborates, opening up a wealth of new opportunities.

The ‘Best Use of AI & Machine Learning’ award was given to students Anzhe Yuan and Derek Harkin for their exceptional project ‘EyeHerd’.

EyeHerd is an innovative livestock monitoring platform designed to enhance cattle welfare and streamline farm operations. By integrating video surveillance with real-time analytics, it detects anomalies such as signs of distress or illness and monitors behaviours like feeding and resting. The platform features an intuitive interface, personalised dashboards, and real-time alerts, ensuring ease of use for farmers with varying levels of technological experience.

EyeHerd enables data-driven decision-making, optimises labour efficiency, and supports sustainable farming practices. Its scalable design accommodates farms of all sizes, providing a modern, user-friendly solution to the challenges of traditional livestock monitoring.

Thank you to Dun & Bradstreet for sponsoring the Final Year Projects Expo 2025, and congratulations to students Anzhe and Derek.

Read about the Expo 2025