LEARN DEEP CODE AI

<< Objectives >>This project aims to provide AI education for students and teachers, create high-quality datasets, and enhance academic research and writing skills. It seeks to strengthen international collaboration, build sustainable AI education models, and ensure the dissemination of research outcomes. The project also promotes gender equality and prepares students for AI-related careers, fostering long-term research capacity in the field of artificial intelligence.<< Implementation >>The project will implement AI training for students and teachers, focusing on dataset labeling, AI model development, and deep learning techniques. Activities include academic writing workshops, dataset creation and peer reviews. International mobilities will allow knowledge exchange, with participants engaging in hands-on coding, model testing, and research paper writing. Research outcomes will be shared via conferences, eTwinning, and publications, promoting sustainable AI education practices.<< Results >>The project will enhance AI education by training teachers and students in AI, deep learning, and dataset labeling. It will create a high-quality, labeled dataset for AI model training and finalize an academic paper for conference submission. AI materials will be integrated into school curricula, ensuringsustainability. Strong international collaborations will foster ongoing research and educational exchanges, promoting long-term impact.