This study explores an educational approach to introduce artificial intelligence (AI) concepts to beginners through practical implementation. Participants, primarily university students with no prior experience in machine learning, were assigned the task of applying various AI techniques to a shared problem using pre-trained models and publicly available resources. The project encouraged collaboration by having participants explore different methods and integrate their results into a unified framework. Approaches were selected on the basis of their accessibility, complementary features, and efficient utilization of state-of-the-art pre-trained models to achieve meaningful outcomes. The findings showed that even AI beginners could tackle complex AI tasks using existing tools and combining various methodologies. This study underscores the potential of hands-on projects as an effective strategy to develop basic AI skills and foster collaborative problem-solving abilities.