The creation of structured and professional presentations remains a time-intensive task across corporate, academic, and business environments. Professionals frequently invest significant effort in organizing slide sequences, summarizing information, and ensuring logical flow and formatting consistency. This manual approach reduces productivity and introduces variability in presentation quality. This research proposes PresentEase Solutions, an Artificial Intelligence-based automated presentation content generation system that utilizes Natural Language Processing (NLP) and structured prompt engineering to generate slide outlines, slide-wise content, and executive summaries from user-defined topics. The system is implemented using Python and Django for backend processing, along with HTML, CSS, and JavaScript for the user interface. The proposed system automates presentation structuring while preserving logical coherence and professional formatting standards. Experimental analysis indicates significant time reduction, improved content consistency, and enhanced productivity compared to traditional manual presentation preparation methods. The system demonstrates the practical application of AI in business productivity automation.
Artificial Intelligence, NLP, Content Generation, Prompt Engineering, Presentation Automation, Business Productivity, Text Structuring, Web-Based AI Systems.
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