The Research Article Summarizer is designed to create intelligent and automated summaries of research articles using advanced Natural Language Processing (NLP) techniques. The system analyzes article content by identifying crucial sentences, extracting key concepts, and recognizing important entities while preserving the original context and meaning. A notable feature of this software is its read-aloud capability, allowing users to listen to the summarized content rather than reading it. This feature is particularly beneficial for visually impaired individuals who may struggle to read the text independently. The system aims to enhance accessibility and understanding of research articles by providing concise and coherent summaries through innovative NLP approaches.