A lightweight ML-powered prediction API built with Flask. Includes model inference, Postman instructions, and a clean requirements file.
-
Updated
Dec 6, 2025 - Jupyter Notebook
A lightweight ML-powered prediction API built with Flask. Includes model inference, Postman instructions, and a clean requirements file.
This project demonstrates how to build an image classification model using Convolutional Neural Networks (CNNs) to classify images into predefined categories. It covers data preprocessing, model building, training, and evaluation steps.
Add a description, image, and links to the cnn-implementation-with-keras topic page so that developers can more easily learn about it.
To associate your repository with the cnn-implementation-with-keras topic, visit your repo's landing page and select "manage topics."