Threat Intelligence Platform

Inspiration

With the rapid growth of digital services, cyber threats are becoming more frequent, complex, and harder to detect in real time. Traditional security systems often rely on static rules and delayed analysis, which makes organizations vulnerable to evolving attacks. This inspired us to build an AI-driven solution that can analyze threat data dynamically and provide actionable intelligence instantly.

What it does

The Threat Intelligence Platform is an AI-powered system that collects, analyzes, and classifies cybersecurity threat data from multiple real-time sources. It helps security teams identify potential threats early, understand their severity, and take proactive actions before damage occurs.

How we built it

We designed the platform as a full-stack web application. The backend processes incoming data, applies AI-based analysis using the Gemini API, and stores results in a structured database. The frontend provides a clean and responsive dashboard that visualizes threats, risk levels, and insights in an intuitive way. We followed proper version control practices using Git to enable smooth team collaboration.

Challenges we ran into

One major challenge was handling dynamic data efficiently while ensuring accuracy and performance. Another challenge was integrating AI outputs in a meaningful way instead of treating them as black-box results. We also focused on balancing feature richness with simplicity, keeping the system usable and understandable within a hackathon timeline.

What we learned

This project helped us understand how AI can be responsibly used in real-world cybersecurity scenarios. We learned how to design scalable systems, integrate AI APIs effectively, and build end-to-end solutions that prioritize usability, reliability, and real impact.

Built With

• css
• google-gemini-api
• html5
• javascript
• machine-learning
• node.js
• postgresql
• python
• react.js
• rest-apis