A simple web application built with Streamlit that uses a pre-trained MobileNetV2 model to classify uploaded images.
click here: [https://ai-image-classifier-hrmn99vwpkxgkfjlunsije.streamlit.app/]
This project is a web-based image classification tool. You can upload any image (JPG or PNG), and the application will use a deep learning model (MobileNetV2) to predict what's in the image. It displays the top 3 predictions with their confidence scores.
- Python: The core programming language.
- Streamlit: For creating the interactive web application.
- TensorFlow / Keras: For loading and using the pre-trained MobileNetV2 model.
- OpenCV: For image preprocessing (resizing).
- Pillow: For handling image files.