ASAR Automatic PPT Generation Using Machine Learning

Abstract

In most of the areas for sharing information, slide presentation plays an important role. The slides for the presentation are traditionally prepared using various tools. The traditional way of presenting slides is labor-intensive. Labor-intensive nature leaves scope for human-errors. In this paper, Research observation is enforcing the automated PPT creation from multi-documents of different extensions based on input query or title that formulate extraction of valuable information source and model a presentation view to automating slide creation using integer linear programming (ILP) method to generate well-structured slides by selecting and aligning key phrases and sentences. This will eventually help in reducing a great amount of the presenter's time and efforts. The proposed system works on natural language processing (NLP) rules to classify data for the desired slides. Preparing slides manually consume more time. The drawbacks of the traditional way lead to the need for an intelligent system. The intelligent system needs to be capable of generating slides with minimum human interference. The existing automatic tools fail to fetch the graphical elements from a given input. Hence the paper proposed an Automatic Slide Generation System. The proposed system fetches the graphical elements as well as text from a document. The proposed system is more reliable than the existing system.