eGuard
Cyber Safety

Detect cyberbullying, scams, and harmful content in real-time using 69+ database patterns — now powered by AI analysis.

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69+ Detection Patterns

Three Layers of Protection

Pattern Detection

Uses 69+ weighted patterns from our database to identify harmful content across categories.

AI Analysis

Claude AI provides contextual analysis, explaining threats and giving actionable safety advice in plain language.

Secure Reporting

Submit reports for administrator investigation. Track case status and resolutions from your dashboard.

Online Content Detection

Paste suspicious content below to analyze it for harmful patterns

eGuard Content Analyzer
69+ patterns active 0 characters
Claude AI Analysis
Analyzing content...

System Statistics

13

Total Reports

5

Cyberbullying Cases

4

Scam Attempts

5

Cases Resolved

About eGuard

Our Mission

To create a safer digital environment by providing intelligent tools to detect and prevent cyberbullying and online scams, especially targeting vulnerable populations in Kenya.

KSEF Project

Developed for the Kenya Science & Engineering Fair 2026, demonstrating practical application of AI and web technologies in solving real-world cybersecurity challenges.

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Research-Based

Comprehensive study of cyberbullying patterns in East Africa

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Community-Focused

Input from Kenyan schools and community organizations

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Educational

Developed for Kenya Science & Engineering Fair 2026

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Scalable

Can deploy as browser extension or integrate with social platforms