Integrative cybersecurity solution for real time age and sex based content control with custom firewall and email verification

Project Code :TCMAPY1493

Objective

The objective of this project is to develop a robust cybersecurity solution that enables real-time content control based on age and sex. The system aims to filter and block inappropriate content, ensuring a personalized and secure online experience for users. By incorporating a custom firewall and email verification, the solution will enforce strict access controls, enhancing user authentication and preventing unauthorized access. The project aims to provide age-appropriate content access by using face and age detection technology, while allowing admins to manage and add content, ensuring the overall security and safety of the platform.

Abstract

ABSTRACT

This project aims to develop a cybersecurity solution for real-time content control based on age and sex, incorporating a custom firewall and email verification system. It will filter inappropriate content, ensuring a safe, personalized experience. The firewall will monitor network traffic and enforce access controls, while email verification strengthens user authentication. Users will register and log in, with face and age detection determining content access. If under 18, access is restricted; users above 18 can view all content. Admins can log in to manage and add content, ensuring secure, age-appropriate content access based on user demographics.

KEYWORDS: Cybersecurity, Content Control, Age Detection, Custom Firewall

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware Requirements

Processor                                 - I3/Intel Processor

Hard Disk                                - 160GB

Key Board                               - Standard Windows Keyboard

Mouse                                     - Two or Three Button Mouse

Monitor                                   - SVGA

RAM                                       - 8GB

4.2  Software Requirements:

Operating System                   :   Windows 10

Server-side Script                   :   Python 3.6

IDE                                         :  Pycharm, VS code

Libraries Used                        : Numpy, IO, OS, Keras, pandas, tensorflow,Opencv

Demo Video

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