This AI model can be applied in various educational contexts. For instance, it can identify classroom objects, hand signs, or emotions to support interactive learning. In local language projects, the model can be trained to recognize unique gestures or regional alphabets. For accessibility purposes, it offers potential as an assistive tool to support students with disabilities. In environmental education, it can help distinguish between recyclable materials such as bottles and cans. Finally, for creative or fun projects, students can design gesture-controlled games or interactive quizzes, making learning more engaging.