I Built an AI-Powered Cybersecurity Threat Detection System Using Python & Machine Learning 🚀

Hey DEV Community! 👋

I'm excited to share one of my recent projects: an AI-Powered Cybersecurity Threat Detection System.

As a B.Tech. Computer Science student, I've been exploring Artificial Intelligence, Machine Learning, Web Development, and Cloud Computing. I wanted to bring some of these technologies together to build something practical.

About the Project

The goal was to develop a web-based application that uses Machine Learning to identify potentially malicious network activity and classify network traffic.

Technologies Used

• Python – Core programming language
• Flask – Web application framework
• Scikit-learn – Machine Learning
• Random Forest – Classification algorithm
• Bootstrap 5 – Frontend design
• SQLite – Prediction history storage
• Render – Cloud deployment

✨ Key Features

• Network traffic analysis
• Individual threat prediction
• CSV-based batch analysis
• Dashboard with prediction summaries
• Prediction history
• Web-based interface

🔗 Check Out My Project

GitHub Repository:

https://github.com/yashmishra8869/ai-cyber-threat-detector

Live Demo:

https://ai-cyber-threat-detector-is0r.onrender.com/

I'm looking forward to improving this project, exploring new technologies, and building more interesting applications.

I'd love to hear your feedback!

What would you improve or add to a project like this?

Let's connect, share knowledge, and keep building! 🚀