This study focuses on the automatic generation of PowerPoint presentations from long text documents and presents a comparative analysis of different summarization methods for this task. The study evaluates a frequency-based extractive summarization method and a pre-trained PEGASUS-large model for abstractive summarization, analyzing their effectiveness in creating structured, presentation-ready content. Based on these findings, we propose a system that integrates these methods to generate slide content, dynamically formatted into PowerPoint presentations using the python-pptx library and delivered via a Telegram bot interface. Evaluation using ROUGE metrics demonstrates high performance. The pre-trained PEGASUS model further enhances the quality of abstractive summarization, providing a practical tool for automating presentation creation.