ThreatLens

ThreatLens was inspired by the growing number of online scams, phishing attacks, and cybersecurity threats that affect everyday users, especially students who may not always recognize these dangers in time. We wanted to create a simple, accessible solution that protects users before harm is done. ThreatLens is an AI-powered cybersecurity assistant that analyzes messages, emails, and links in real time to detect suspicious or harmful content. It instantly warns users and explains the risk in clear, easy-to-understand language so they can make safer decisions online. We built ThreatLens using AI models that classify and evaluate text and URLs, generating a risk score and explanation, combined with a simple and user-friendly interface for quick interaction. One of the main challenges we faced was balancing accuracy with usability, especially reducing false positives while still catching real threats, as well as simplifying complex cybersecurity concepts into something anyone can understand. Despite these challenges, we are proud to have developed a working prototype that not only identifies threats but also educates users, making cybersecurity more approachable. Through this project, we learned how to apply AI to real-world problems, improve teamwork under time constraints, and design systems that communicate complex ideas effectively. Moving forward, we plan to expand ThreatLens by adding browser extensions, improving detection accuracy, and integrating real-time protection across more platforms to create a safer and more proactive digital experience for everyone.

Built With

• ai
• css
• gemini
• google
• html
• javascript
• typescript