Trustworthiness of Video Management System Using Sequential Deep Learning Model

Reliability is the main problem with social media in the current context. This Flask framework integrates a Python web application with a MySQL backend. The user might choose to log in and create their account here. The user can upload short clips and view all of the content that other users have uploaded up to this point. The video is evaluated once it is uploaded to determine whether or not it contains violent content. Convolutional neural networks (CNNs) are used to train the model to identify the kind of content it contains. Users have the option to rate the content so that it reflects everyone's experience with the videos. There is an admin page here with complete access to the user's uploaded content. It can block users and remove any stuff they may have published from the program. This may prevent the user from uploading worthless content to the application. For the front end of this, we used J avaScript, CSS, and HTML. MySQL for back-end use (SQL Yog). Python-trained models are integrated with the developed user interface using the Flask framework.