Ai network threat intelligence system

With rising cyber threats, I wanted to create a simple yet powerful tool to help users stay safe online. My passion for AI, cybersecurity, and automation led me to build this system, combining machine learning and threat intelligence for real-time website analysis. My goal is to make cybersecurity accessible and effective for everyone.This system was made by an open source artificial intelligence. So it will be visible only when the server is running. It provides a risk score and helps users stay secure online. We built this system using free and open source tools. It integrates the VirusTotal API and WHOIS lookups to analyze URLs. The project is deployed on Render for easy access.Challenges We faced challenges with integrating the VirusTotal API, fine-tuning the AI model for accurate threat detection, and ensuring a smooth deployment on Render. Debugging API requests and optimizing response times were key hurdles we overcame.We're proud of successfully building an AI-powered threat detection system that provides real-time website analysis. Integrating the VirusTotal API, WHOIS lookups, and machine learning into a user-friendly web app was a major achievement. Deploying it on Render makes it easily accessible to everyone. We learned how to integrate external threat intelligence APIs, optimize machine learning models for cybersecurity, and deploy a scalable web application on Render. Debugging API issues and improving real-time threat detection were key takeaways.We plan to enhance the AI model with more training data, integrate additional threat intelligence sources, and develop a risk analysis dashboard for deeper insights. Adding user accounts and logs will improve security tracking, making the system more powerful and user-friendly.

Built With

• cmd
• css
• github
• html
• javascript
• python
• render
• vercel