Smart Video Summarization and Documentation Using NLP

Project Code :TCMAPY2161

Objective

The primary objectives of this project are to automate video summarization using advanced NLP techniques like Gensim, T5, and BERT for accurate and concise YouTube video summaries. It aims to offer multilingual support, allowing users to select their preferred language. Blockchain technology will ensure data security and integrity of the summaries. The system will support multiple summary formats such as Text, PDF, and Word, enhancing accessibility. Additionally, a user-friendly web interface will simplify the registration, video upload, and summary generation processes. The project aims to streamline video content consumption with quick, reliable, and secure summaries for diverse users.

Abstract

The rapid growth of video content on platforms like YouTube presents a challenge for users to extract relevant information quickly. This project focuses on developing a system for automating video summarization using Natural Language Processing (NLP) techniques. By leveraging algorithms such as Gensim, T5, and BERT, the system generates concise summaries from YouTube videos based on user input. Users can upload video links, select a summarization mode, and choose their preferred language. The generated summaries are stored securely in a database, with blockchain technology used to ensure the integrity of both user data and the summaries. The system also provides download options for the summaries in multiple formats such as Text, PDF, and Word. This project aims to enhance user experience by providing quick, accurate, and secure summaries of video content, making it easier to digest lengthy videos.

Keywords: Video Summarization, NLP, Gensim, T5, BERT, Blockchain, Text Summarization, PDF, Word, Security.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.