Paper Key : IRJ************824
Author: Ms. Girija Mallikarjun Kamble,Ms. Laxmi Somanath Bagale,Ms. Vidya Parmeshwar Bavakar,Ms. Rajnandini Jagannath Argulwar,Ms. Aarati Sadanand Gadekar,Ms. Snehal Manoj Kortekar
Date Published: 05 Apr 2025
Abstract
Nowadays, extracting useful information from videos is very important. However, existing data mining techniques cannot be directly applied to videos. This proposed work uses different data mining algorithms for indexing, clustering, searching and retrieving content-based videos. The aim of our project is to provide a Womens Self-Defence Training Portal where users can watch, like, dislike, and share self-defence training videos uploaded by the admin. This platform empowers women by offering easy access to essential safety techniques and improving content based on user feedback.In this system, only the admin can upload videos to a cloud server. Videos are categorized and uploaded automatically based on a schedule set by the admin. Users can watch videos online and rate them. The system analyzes these ratings and automatically removes less popular videos to save userstime. Additionally, users can share videos with other registered users directly within the system, without needing any external platform.Keywords: Content-Based Video Retrieval, Data Mining, Self-Defence Training, User Feedback, Cloud Storage, Video Rating.