Object Recognition Application for Education using Transfer Learning

In today’s technology-driven world, fostering a love of learning and nurturing curiosity in young minds is essential. This project introduces an object recognition application designed to enrich young learners’ educational experiences. The app focuses on identifying fruits, vegetables, and flowers using the EfficientNetB0 model, known for its proficiency in image recognition. By leveraging transfer learning from the pre-trained ImageNet dataset, the application achieves high accuracy in recognizing these objects. Beyond identification, the app integrates interactive games such as guessing, matching, and memory games with identical object cards, providing engaging ways to develop vocabulary and cognitive skills. This research explores fine-tuning EfficientNetB0 for targeted tasks and designs an intuitive interface to support positive learning experiences, potentially impacting children’s educational journeys.