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Protecting users from harmful and malicious websites using advanced machine learning and automation

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Ojass-2024-Hack-de-Science/NeuralKnights

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This is a Next.js project bootstrapped with create-next-app.

In this project we have used Next.js , Typescript to build our project :

An anomaly detection system aimed at :

Protecting users from harmful and malicious websites using advanced machine learning and automation

Decision Logic : image Features : image

Preview :

Homepage :

file_2024-04-06_05 56 56

WhatsApp Image 2024-04-06 at 15 57 12_fbd8538a

WhatsApp Image 2024-04-06 at 15 57 11_a5e091cd

WhatsApp Image 2024-04-06 at 15 56 45_e57a36ad

WhatsApp Image 2024-04-06 at 15 57 12_c54e9552

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

Made with ❤️ by TEAM NEURALKNIGHTS

Verdict: Among Top 5 in Hack-De-Science Hackathon by @Ojass NIT Jamshedpur

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