In the contemporary era of information abundance, the ability to distill key insights from voluminous textual data has become increasingly imperative. This project attempts to addressthis challenge by developing an innovative AI-Powered Text Summarization System. Leveraging advanced natural language processing (NLP) techniques and state-of-the-art machine learn- ing models, the system demonstrates a sophisticated capability to generate coherent and contextually relevant summaries from extensive textual datasets. The concept behind automatic textsummarization involves gathering important and concise points from extensive data. With the vast and continually expanding information available on the internet, sifting through it to extractkey data becomes challenging and time-consuming. Employing automatic text summarization simplifies this process, enabling users to efficiently gather essential data from large volumes of information
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Kshiteej Pathak (2024) studied this question.
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