1Dr. Y. Chitti Babu, 2Damisetty Bhagya Sri,3Madasani Meghana, 4 Immadisetty Mohana Lakshmi 03 08 The Video Metadata Generation and Classification project is a webbased application developed to automatically generate metadata and classify videos based on their content With the rapid growth of video content manually generating metadata has become a timeconsuming process To address this problem the proposed system automates the process of video analysis using speech recognition and keywordbased classification techniques Users can upload a video through a Flaskbased web interface where the uploaded video is first previewed The system then extracts the audio using FFmpeg and converts the speech into text using Google Speech Recognition which implements Automatic Speech Recognition ASR The extracted text is analyzed to generate relevant keywords and classify the video into predefined categories such as Sports Food Education and General using a KeywordBased Classification Algorithm The system is developed using Python Flask HTML CSS FFmpeg and the SpeechRecognition library It provides a simple efficient and costeffective solution for automated video organization and retrieval making it suitable for educational platforms digital libraries media organizations and multimedia content management systems Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026