AI-POWERED TOOL FOR SUMMARIZING LARGE VOLUME OF CONTENT

Abstract—This project focuses on developing an AI-powered tool for efficiently summarizing large volumes of content using the IBM Watson platform. With the rapid growth of digital information, it has become increasingly challenging for individuals and businesses to process and extract key insights from lengthy documents, articles, and reports. The tool leverages advanced natural language processing (NLP) and machine learning algorithms available through IBM Watson’s suite of AI services, including Watson Natural Language Understanding and Watson Discovery. By analyzing textual content and identifying essential themes and concepts, the system can generate concise, coherent summaries that retain the core meaning of the original content. This tool aims to significantly reduce the time and effort required for content consumption, making it an invaluable resource for professionals, researchers, and organizations looking to stay informed without getting overwhelmed by extensive material. The project also explores customization features, allowing users to tailor the summary length and level of detail based on their specific needs. Index Terms— AI Summarization, IBM Watson, Natural Language Processing, Text Mining, Machine Learning.