Скачать или смотреть MnetPatrol - Web Based Automation Cyberpatrol System for Detecting Online Gambling Content

Online gambling has become one of the most concerning digital threats, affecting both social and economic aspects. This video presents MNetPatrol, an AI-based web automation cyber patrol system designed to detect and classify online gambling content with high accuracy and efficiency.
Powered by the Bi-Directional Long Short-Term Memory (BI-LSTM) Shared Memory Model, this system is capable of understanding sentence semantics from both past and future contexts to provide more precise content classification.

MNetPatrol automates the entire cyber patrol process — from web crawling, screenshot capturing, and text extraction using Optical Character Recognition (OCR), to real-time monitoring through cronjobs. It also provides instant Telegram notifications, automatic PDF reporting, and an intuitive visual dashboard for effective cyber surveillance management.
This innovation aims to support digital security and reduce human resource dependency in monitoring illegal online activities.

Key Features:
AI-powered BI-LSTM content classification
Automated web crawling & OCR text extraction
Real-time monitoring & Telegram alerts
PDF reporting & visual dashboard interface

#CyberSecurity #AI #Automation #DeepLearning #OnlineGamblingDetection #MNetPatrol #WebSafety #ArtificialIntelligence