CALEB UNIVERSITY STUDENTS WIN HACKATHON WITH AI APP THAT DETECTS MANGO RIPENESS

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A group of Computer Science students from Caleb University has won the Hackathon Competition hosted by Bells University of Technology with their innovative software, Valor — an AI-powered tool designed to assess mango ripeness using advanced image processing and machine learning.

Nicknamed the “Smart, Bold, Brainy, Savvy, Mango Master,” Valor wowed the judges with its precise classification of mango ripeness.

In a statement released Thursday, the team explained that the app leverages computer vision and deep learning to solve a common agricultural issue — identifying ripe or spoiled mangoes — which often leads to unnecessary food waste and financial loss.

The winning team includes final-year Software and Computer Vision Engineer Harmony Abayomi, 400-level Data and AI Engineer Nwachukwu Chibuzor, and 400-level Data Analyst Efod Freda.

They noted that their drive came from a desire to minimize food waste and enhance the accuracy of fruit quality evaluation.

“Detecting ripeness and spoilage in mangoes remains a significant challenge. Overripe fruits lead to wastage and loss of value, while underripe ones fail to meet the expectations of consumers. Traditional methods like visual inspection are subjective and often unreliable,” the team said.

The Acting Vice Chancellor of Caleb University, Prof Sunday Adewale, hosted the winning team and praised their achievement.

“Caleb University has become a colossal hub for innovation and academic excellence,” he said. “The success of Valor is a testament to our commitment to nurturing innovation, academic excellence, and real-world problem-solving.”

Adewale added that the university’s environment promotes interdisciplinary collaboration and hands-on learning, providing students with the necessary tools to excel in today’s tech-driven world.

Head of the Computer Science Department, Dr. Adeniyi Akanni, and Team Coordinator, Mr. Ajala, in a joint statement, described the app as a “sophisticated web and mobile application that leverages advanced machine learning and AI algorithms to analyse images and data.”

They noted that the project marks a significant intersection of technology and agriculture, highlighting how innovations from Caleb University are contributing to global efforts to improve food quality and reduce waste.

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