Mr-Melvin/E-Robo

Asian / African Elephant Classification Project using CNN # Introduction The aim of this project is to develop an accurate and efficient image-based classification system to identify whether a given elephant image is of an African or Asian elephant. In this project, we present a Convolutional Neural Network (CNN) model leveraging transfer learning with VGG16 to predict whether a given elephant image is African or Asian. By utilizing transfer learning we adapt the pre-trained VGG16 architecture to our specific classification task,achieving robust performance with mminimal training data. Streamlit enables easy interactions with the model,allowing users to upload images and visualize the classification results in real-time. # How it works: Step 1 : Homepage. Step 2 : Uploading elephant images. Here we can upload any number of elephant images. Step 3 : This page shows the results of uploaded elephant images.