AutoPPT: An Integrated Web Platform for Automated Summarized Presentation Generation

It is usually a tedious and repetitive process to prepare well-structured and visually pleasing presentations, especially for students, teachers, and professionals who repeatedly work with huge amounts of raw content. The available tools either depend heavily on artificial intelligence models or on external document formats like PDFs and hence are resource- intensive and less user-friendly. To solve this problem, this research introduces AutoPPT, a light-weight web application that autogenerates distilled PowerPoint presentations from raw text input. The application is developed with HTML, CSS, and JavaScript for the client-side, and Python with Flask for server- side processing. A proprietary rule-based summarization logic is used to transform raw text into bullet points compactly without depending on third-party NLP libraries. Other features like preview of slides in real time, theme customization, font changes, uploading of images with choice of position also add more control and flexibility for the user. Experimental study proves that AutoPPT achieves considerable reduction of time and effort to generate presentations along with ensuring clear and visually wellorganized slides. This finding proves the promise of light- weight, rule-based web applications to enhance productivity and accessibility in automated presentation creation.