Cyber Alert

Cyber Alert is an AI-powered browser extension that detects scam messages in real time, protecting users from phishing, fraud, and digital threats with instant severity feedback.

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Inspiration

In 2025, I launched my first project — Cyber Alert.

Every day, I saw family members, friends, and even experienced people getting tricked by AI-generated scam messages. Most didn’t realize the danger until it was too late.

That frustration drove me to build something that warns users before they engage. A tool that uses AI for protection — not paranoia.

Cyber Alert is my answer: a web app that brings scam detection into everyone’s hands.

What It Does

Cyber Alert is a web-based, AI-powered scam detection app that:

  • Lets users paste or type messages into a clean text box
  • Uses the Gemini LLM API to analyze and detect scam threats

  • Displays color-coded severity results:

    • Green – Safe
    • Yellow – Suspicious
    • Dark Orange – Scam
    • Red – Life Threatening

  • Provides real-time feedback with minimal delay

  • Trains users over time to recognize risky patterns in language

Your data stays yours — no storage, no logging, no tracking. (Also, I don’t even know how to store data yet)

How I Built It

  • Frontend: HTML, CSS, and JavaScript — responsive for desktop and mobile
  • Backend: Python with Flask to handle input and interact with the AI
  • AI Integration: Gemini LLM API with prompt engineering for scam detection
  • Design: Clean, minimal, and fast user interface
  • Hosting: Free-tier web hosting for accessibility
  • Security: Input validation and safe API communication

Challenges I Faced

  • First time combining AI and Flask — had to learn API handling, rate limits, and key protection
  • No open scam dataset — created my own realistic test cases
  • Designing user-friendly feedback — effective but not overly alarming
  • Optimizing performance — ensuring fast response times despite backend checks

Accomplishments I’m Proud Of

  • Built a fully working AI scam detector solo — at age 14
  • Integrated frontend, backend, and AI into a complete product
  • Added language support for wider accessibility
  • Created a real-world tool addressing a rising cybercrime issue
  • Built a smooth, usable web app — no installations, extensions, or logins
  • Gained meaningful feedback: “I actually feel safer using this”

What I Learned

  • Flask web development, from routing to error handling
  • How to apply LLMs in real use-cases
  • The art of prompt tuning for better AI responses
  • The importance of good UX in building trust and usability
  • That age doesn’t limit impact — ideas and execution do

What’s Next for Cyber Alert

  • Add voice-to-text for detecting audio scams
  • Provide copy-to-clipboard for safe message replies
  • Build a browser extension for real-time message analysis (future plan)
  • Enable public scam reporting to grow the dataset
  • Collaborate with other young developers to build v2.0 with ML fine-tuning
  • Launch on platforms like Product Hunt, Reddit, and forums to get feedback
  • Long-term goal: release an Android app with push alerts and scam news

Final Thoughts

Cyber Alert isn’t just a web app — it’s a symbol for scam awareness.

A symbol of how we can use technology to protect, educate, and empower. A tool built not just to detect scams — but to make people think before they click. This is more than a tech demo. It’s a personal promise to keep creating tools that make the internet safer, smarter, and more human.

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