Build your own AI-driven image classifier web application
Key Features
- Get started with Django by setting up your Django project and creating an image model
- Get to grips with React and find out how to set up a React project
- Understand how the app's frontend and backend work
Book Description
This course shows you how to build an AI-driven image classifier project using React, the Django REST framework, and a Keras pre-trained model. You'll also learn how to integrate a ready convolutional neural network (CNN) model from Keras applications with Django.
The course starts with an overview of Django and React, helping you gain both theoretical and practical knowledge. You'll learn how to implement new functionalities in a step-by-step manner to create a project. As you advance, you'll understand how the app's frontend and backend work, and even learn how to test your classifier and catch errors. Later, you'll delve into adding features such as styling, buttons, the navigation component, and spinners which will help in creating a user-friendly app.
By the end of this course, you'll have built a modern web application that will classify images and store the classification history efficiently.
Here's the link to the GitHub Repo: https://github.com/PacktPublishing/Image-Classifier-with-Django-and-React
What you will learn
- Create a RESTful API with the Django REST framework
- Discover how to integrate Django with React
- Find out how to create a single page application
- Add features such as the 'load more images' button and spinners to the React app
- Implement the 'drag and drop' functionality using Dropzone
- Integrate a Keras CNN model with Django
Who this book is for
This course is for all beginner Python, Django, and React developers who want to learn how to build image classifier web apps and enhance their professional portfolios.
