Abstract: The rapid expansion of video content across platforms like YouTube has brought with it challenges related to information overload and accessibility. Many users find it difficult to extract meaningful insights from long videos, while language remains a major barrier for non-English speakers in India. This paper presents a dual-solution system that automatically summarizes video content using an LSTM-based deep learning model and then translates the summary into several Indian regional languages using Google Translate. The system is designed for efficient information access and inclusive communication, ensuring that users can comprehend content quickly and in their preferred language.

Keywords:Video Summarization, LSTM, Natural Language Processing, Deep Learning, Google Translate, Accessibility, Speech Recognition.

| DOI: 10.17148/IARJSET.2025.125186