Artificial intelligence (AI), cybersecurity, robotics, and the Internet of Things (IoT) are now reshaping our professions and business needs. In this context, these major technological themes were at the heart of discussions and prominently showcased during the 3rd edition of the Digital Technologies Showcase hosted by Middlesex University Mauritius on its Flic-en-Flac campus on Wednesday, April 15, 2026.
The event that brought together students, industry professionals, corporate partners, alumni, and prospective students leveraged a dynamic platform for exchange through an immersive exhibition centred on innovation.

This year’s edition showcased over 50 final year projects, demonstrating students’ expertise and their ability to develop practical solutions to current challenges. Through live demonstrations, interactive prototypes, and research displays, visitors were able to explore a wide range of initiatives, ranging from AI applied to intelligent systems to secure digital platforms and industrial automation.
The event, more than a simple exhibition, forms a key part of Middlesex University Mauritius’ strategy to enhance employability through practical experience. By creating direct bridges between academic training and market needs, the university offers companies, particularly from the financial, telecommunications, IT, automotive, retail, and manufacturing sectors, a valuable opportunity to identify future talent in action.

The day ended on a high note with a visitors’ vote recognising the most innovative projects. For the 2026 edition, the two award recipients were Dhruv Ramachundrah, who secured first prize with his “Posture Correction App”, a platform using the ‘Assess Prescribe’ methodology to identify posture issues via images or live monitoring and suggest personalised corrective exercises.
While Nahida Rojoa was awarded second prize for her “AI Bodyshop Assessment System”, an automated solution for the automotive sector using computer vision to detect vehicle damage and identify insurance stickers, thereby significantly optimising inspection processes.



