AI- powered web-based app for automatic comic translation using reactjs, nodejs and python

Abstract

In the evolving landscape of digital media, comic translation has emerged as a niche yet impactful sector. The purpose of this thesis is to conceptualize and develop a dependable AI powered web-based application premised on the principles of machine learning and natural language processing. This application aims to automate the translation of comics, thus democratizing access to a broader range of comic literature across language barriers. Leveraging cutting-edge technologies such as ReactJS, NodeJS, Python, MySQL, OCR libraries for text recognition, and Google API for automatic translation, this project endeavors to create an efficient and well-designed platform. As an initial step, the platform incorporates an easy-to-use interface for users to upload comics, which are then automatically translated into English. By integrating electronic text recognition and translation methods, the application significantly enhances the user experience. The ultimate goal is to establish a direct interaction between the comic reader and a plethora of global comic literature, previously inaccessible due to language barriers. This project is underpinned by a meticulously planned strategy for applying AI in the field of language translation, utilizing contemporary technology to provide a unique service to comic enthusiasts worldwide. The primary objective is to create an engaging, interactive, and user friendly application. This application facilitates easy searching, browsing, and selection of comics. It incorporates a robust search engine that enables users to find comics that align with their personal preferences. By employing an interactive search method and filtering results based on user input, users can explore comics from around the world. The application also allows users to view complete details of the comics, read reviews from fellow users, and leave their own feedback. A distinctive feature is the inclusion of a drag-and drop functionality, which provides an intuitive method for users to manage their comic collections. The focus is on providing a user-centric search engine and an engaging interface, such as the drag-and-drop functionality. The insights from this project may prove valuable in designing user engagement strategies and predicting the success of AI-powered translation platforms, particularly in the realm of comic literature