AWAF: AI Enabled Web Contents Authoring Framework

Abstract

Artificial intelligence (AI) in web development is a new sector that a lot of people are into recently. AI continues to evolve and grow, and plays an increasingly important role in the web app development space [1]. When it comes to developing innovative and more sophisticated web applications, the involved technologies continue to play a bigger role. With the involvement of the internet into our daily lives, particularly businesses are enjoying the aspects of AI. Precisely, companies use AI in proper marketing of their products and enhancing their brand visibility by building their websites and web applications [2]. AI or Machine Learning (ML) models are able to help web app developers to solve problems related to security, user experience, content analysis, quality assurance and much more. This presents the need for a framework or tool that can allow third party developers to seamlessly build an AI based app. In this paper, we present an AI Enabled Web Contents Authoring Framework (AWAF), where AI models can be simply dragged into workspace, provide options to build, train Deep learning models using a simple web visual interface, and ultimately ship the AI features into the web application. Also, we provide an option to connect together smart blocks called AI Nodes, to create our custom deep learning models. These AI Nodes are designed flexible enough to reap the advantages of portability and reusability. And, laterally, we also focus on assigning or distributing the computational AI Nodes to capable IOT-edge devices like high-end TV etc. to leverage their hardware capabilities in order to increase the overall responsiveness of the AI application on low-end devices [3].