Forty undergraduate students from nine Nigerian tertiary Institutions on Thursday concluded a four day Machine Learning and Deep Learning Masterclass Workshop at the University of Lagos, presenting real time artificial intelligence solutions to contemporary challenges in health, food security, and public safety.

The workshop, organised by the UNILAG AFRETEC Network and held at the UNILAG NITHub, ran from 11 May to 14 May 2026. Participating institutions included UNILAG, Anchor University, Caleb University, Lagos State University of Science and Technology, EKO University of Medical and Health Sciences, Lagos State University of Education, Trinity University, Maranatha University, and Yaba College of Technology.

Working in eight groups of five members each, participants developed and presented practical machine learning solutions using TensorFlow and other deep learning tools.

Projects presented included an image authentication and animation software for verifying image sources and detecting authenticity; a Global Food Security Predictor for assessing hunger severity using key indicators; and a predictive wellness system for real-time arrhythmia detection using wearable ECG data.

Other solutions showcased were a Convolutional Neural Network model for detecting Invasive Ductal Carcinoma from breast tissue samples; a waste classification model powered by CNN technology; an early academic performance prediction model; a diabetes prediction system based on existing medical records; and a facial access control system capable of detecting face masks.

The workshop convener, Dr Babatunde Sawyerr, stated that the programme was designed to groom the next generation of artificial intelligence and machine learning experts with the technical skills required to address societal and industrial challenges.

Participants expressed appreciation to the UNILAG AFRETEC Network for the quality of instruction and the learning environment, pledging to apply the knowledge gained toward their academic pursuits and national development.