Building a Sentiment Analysis App with React, Flask, and Tesseract

Building a Sentiment Analysis App with React, Flask, and Tesseract

A full-stack AI-based web application with a React frontend and a Flask backend

A full-stack AI-based web application with a React frontend and a Flask backend

Hello everyone, in this post I’ll try to demonstrate a full-stack AI-based web application with React frontend and Flask backend. Nearly all the frontend code for this project comes from this repository so don’t forget to go ahead and drop a star to the original OCR React code of the project. Actually, as you can see the final version of the project is also a fork of the React repo, I just added the backend and sentiment analysis, changed the folder structure, and rebased the project.

The ultimate goal of this project to show you that can use perfectly engineered developer-friendly tools from the awesome community to tackle some truly hard problems in CS and you don’t have to get your hands dirty if you don’t want to basically.

I’ll not explain the code line by line in this tutorial, instead, I’ll explain how each part works briefly, and then you’ll have a base image for creating similar image base sentiment analysis applications with the support of AI.

react flask web-development ai machine-learning

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