Inspiration
With scam messages becoming increasingly sophisticated, we built ScamShield to help people instantly verify suspicious content.
What It Does
Analyzes text messages or uploaded images using AI to detect:
- Phishing attempts
- Financial scams
- Fake prize offers
- Suspicious links
How We Built It
- Frontend: HTML/CSS/JS
- Backend: Python/Flask
- APIs: Google Cloud Vision + Gemini AI
- Deployment: Render (free tier)
Challenges
- Tuning AI prompts for accurate scam detection
- Handling image-to-text conversion reliably
Accomplishments
- Created a working prototype in 48 hours
- Achieved 85%+ accuracy on test scam samples
What's Next
- Add multilingual support
- Browser extension version
- Community scam database
Built With
- css
- flask
- gemini-pro-2.5
- google-cloud
- google-cloud-vision
- html5
- javascript
- python
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