Detect cyberbullying, scams, and harmful content in real-time using 69+ database patterns.
69+ Patterns
Uses 69+ detection patterns from database to identify harmful content.
Instantly analyzes content and provides severity scoring with recommendations.
Submit reports to administrators for investigation. Track progress in dashboard.
Paste suspicious content below to analyze it for harmful patterns
Total Reports
Cyberbullying Cases
Scam Attempts
Cases Resolved
To create a safer digital environment by providing intelligent tools to detect and prevent cyberbullying and online scams, especially targeting vulnerable populations in Kenya.
This project is developed for the Kenya Science & Engineering Fair, demonstrating practical application of AI and web technologies in solving real-world cybersecurity challenges.
Based on comprehensive study of cyberbullying patterns in East Africa
Designed with input from Kenyan schools and community organizations
Developed for Kenya Science & Engineering Fair 2026
Can be deployed as browser extension or integrated with social platforms