This project presents a robust multi-category image classification solution, developed utilizing TensorFlow and TensorFlow Hub. If you're interested in the practical application, feel free to jump directly to the final section where you can interactively evaluate the model with your own images stored in Google Drive. The heart of this system is the incorporation of transfer learning principles, leveraging the power of the pre-trained MobileNet V3 Convolutional Neural Network (CNN). By acting as the foundation, this model expedited the learning process while enhancing the performance. The architecture is topped with a Softmax output layer, tailored for multi-category classification, and optimized using the efficient Adam algorithm.