A specialized e-commerce platform connecting suppliers and customers in one system. Focusing on the sale of computers, mobile phones, and printers, where each product is linked to its supplier. Includes advanced features such as search, specification-based filtering, and AI-powered recommendations. An administrative dashboard for managing suppliers, categories, brands, products, labels, notifications, and customer orders. Aims to improve efficiency, ease of use, and a smart shopping experience.
The main idea of this research is to create a highly reliable and robust machine learning system capable of accurately predicting student performance. This reliability is achieved using advanced validation techniques (nested validation) to prevent overfitting the model, as well as systematic rebalancing strategies to ensure the model performs fairly across all student categories, especially the minority at risk of failure.
An artificial intelligence system for analyzing and diagnosing medical fungi through images, aiming to improve the quality of medical diagnosis and accelerate the fungal detection process with higher accuracy than traditional methods.
The University of Technology organized a student “Entrepreneurship Day” where fourth-level students presented 12 innovative projects reflecting creativity and entrepreneurial spirit.
COMS: Construction Management System.
Digital Contracting Platform.
Smart Inventory System.
HRMS: Human Resources Management System.