AI and NLP-Driven Technology for YouTube Transcript Processing, Summarization and Automation
Year: 2025
Type: article
Abstract: In the digital age, the vast amount of online video content makes it challenging for users to extract key information. The AI-Driven YouTube Transcript & Summary Generator employs Artificial Intelligence (AI) and Natural Language Processing (NLP) to automate the retrieval, processing, and summarization of textual content. By integrating Hugging Face’s Transformers for abstractive summarization, the system generates concise, human-like summaries. Built using Flask as the backend, this web-based application features a Bootstrap-powered interface for accessibility and usability. It also allows users to download transcripts and summaries in PDF format using the FPDF library. By leveraging machine learning, NLP, and AI-driven automation, this tool simplifies information retrieval, benefiting education, research, and knowledge extraction while enhancing productivity. Key Words: Machine Learning, Natural Language Processing, YouTube Transcript Processing, Abstractive Summarization, AI-Driven Automation
DOI: 10.55041/ijsrem45205
Author: Dr. P. R. Vijayalakshmi
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409651430