This project consists of a web application built with React for the frontend and Flask for the backend. The application allows users to perform neural style transfer on images, where the style of one image is applied to the content of another image to generate visually appealing results.
Fruit image classifier made with Keras VGG19 transfer learning and flask.
A web-based application for Neural Style Transfer (NST), built with a unique tech stack that merges MERN with a Flask + Python + PyTorch backend for performing the actual style transfer using a pre-trained deep learning model.
Neural Style Transfer on a content image and maximum of 4 style images
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