Title: SummaSense: an AI-powered web application for multilingual text, audio, and video summarisation

Authors: Gaurav Singh; Advait Nurani; Hridayesh Padalkar; Reshma Gulwani

Addresses: Dr. D. Y. Patil's Ramrao Adik Institute of Technology, Sector 7, Nerul, Navi Mumbai, Maharashtra, India ' Dr. D. Y. Patil's Ramrao Adik Institute of Technology, Sector 7, Nerul, Navi Mumbai, Maharashtra, India ' Dr. D. Y. Patil's Ramrao Adik Institute of Technology, Sector 7, Nerul, Navi Mumbai, Maharashtra, India ' Dr. D. Y. Patil's Ramrao Adik Institute of Technology, Sector 7, Nerul, Navi Mumbai, Maharashtra, India

Abstract: In the era of information overload, the ability to effectively summarise vast amounts of information has become a necessity. This paper introduces SummaSense, an AI-powered web application that utilises both extractive and abstractive summarisation techniques, including KL, LSA, BART, and Conversation BART, to summarise text, audio, and video content in multiple languages. The system's architecture employs Next.js, TailwindCSS, Flask, Node.js, and MongoDB technology, ensuring scalability, robustness, and high-performance results. The system's utility is demonstrated by presenting numerous use cases and scenarios that benefit various businesses and their users. The paper provides a detailed description of the system's features, architecture, implementation, models used, comparisons, testing, and applications, along with several examples of summaries and titles generated by the web application and a comparison with human-generated summaries. The system's effectiveness is demonstrated by presenting several examples of summaries and titles generated by the web application, along with a comparison to human-generated summaries.

Keywords: multimedia summarisation; multilingual processing; natural language processing; text-to-speech conversion; artificial intelligence.

DOI: 10.1504/IJAISC.2024.146623

International Journal of Artificial Intelligence and Soft Computing, 2024 Vol.8 No.4, pp.285 - 304

Accepted: 17 Dec 2024
Published online: 09 Jun 2025 *

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