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# CyberCure Under Process | ||
<h1 align="center">Hack 36 6.0 Template Readme</h1> | ||
<p align="center"> | ||
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<a href="https://hack36.com"> <img src="https://cutt.ly/BuiltAtHack36" height=24px> </a> | ||
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Introduction: | ||
============= | ||
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Video Link | ||
========== | ||
<a href="https://youtu.be/dQw4w9WgXcQ">https://youtu.be/dQw4w9WgXcQ</a> | ||
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Presentation Link | ||
================== | ||
<a href="https://www.canva.com/design/DAE-vBgoxx8/D_WtWUa2ql_xA30zdbB_RQ/view?utm_content=DAE-vBgoxx8&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton"> PPT link here </a> | ||
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Table of Contents: | ||
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Our idea is to create a one-stop solution for most of the cyber security and misinformation related | ||
problems faced by any user. There are various attacks on the user systems that can go unnoticed | ||
and harm the system if not detected early. Most of the tools that are available today are either very | ||
complex to use or available only for enterprises, and of course many of them our paid. Our project | ||
aims to solve that problem (for free!). | ||
Other than that, in this era of artificial intelligence, there is an increasing problem of fake content | ||
such as deepfakes that can be used to extract revenge, propagate hate or create chaos. There are | ||
misinformation campaigns carried out by manipulating the images and making them viral on social | ||
media. Our project aims to help combat this problem as well. | ||
For help in combating the above problems we are going to include the following features in our web | ||
app: | ||
1. Intrusion Detection System: An intrusion detection system is a device or software | ||
application that monitors a network or systems for malicious activity or policy violations. | ||
2. Image Forgery Detection: Image forgery means manipulation of the digital image to conceal | ||
some meaningful or useful information of the image. | ||
3. Android malware detection: Malware is any software intentionally designed to cause | ||
disruption to a computer, server, client, or computer network. | ||
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See the section about deployment for more information. | ||
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# Preview | ||
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Technology Stack: | ||
================= | ||
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1)Python <br> | ||
2)Django <br> | ||
3)Streamlit <br> | ||
4)Pytorch <br> | ||
5)Tensorflow <br> | ||
6)Scikit-learn <br> | ||
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Contributors | ||
============ | ||
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Team Name: 36GhanteKarege | ||
* [Kirti Kumar](https://github.com/KIRTIKUMARKK21) | ||
* [Utkarsh Jha](https://github.com/utkarsh1236) | ||
* [Akshat Verma](https://github.com/akshatvermavi) | ||
* [Yash Nayak](https://github.com/nayak-yash) | ||
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### Made at | ||
<a href="https://hack36.com"> <img src="https://cutt.ly/BuiltAtHack36" height=24px> </a> |