Sub-Category · Science & Innovation Competition
Develop innovative AI solutions using machine learning, deep learning, natural language processing or computer vision technologies.
This sub-category aims for students to develop intelligent systems using artificial intelligence and machine learning technologies. Image recognition, natural language processing, prediction models, recommendation systems and autonomous decision-making mechanisms are within the scope of this category.
Projects are evaluated based on dataset quality, model accuracy, innovation, practical applicability and ethical AI usage. Explainability of algorithms used and potential for social benefit are important evaluation factors.
Applying supervised and unsupervised learning models, neural networks and deep learning techniques.
Processing and visualizing large datasets to extract meaningful insights.
Developing explainable, transparent and socially beneficial artificial intelligence systems.
Participants develop AI projects in areas such as image recognition, natural language processing, prediction or recommendation systems.
Model accuracy, dataset quality, innovation and ethical usage are important evaluation factors.
Review the official competition rules, evaluation criteria, project requirements and submission guidelines before preparing your project.
View Rules BookletApply now to showcase your AI skills on the international platform.