AI-Powered Vishing Detection
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Free
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Click to upload or drag & drop audio file
Supports WAV, MP3, M4A, OGG, WEBM (Max 50MB)
Click to start live audio monitoring
Analyzes 10-second chunks in real-time
No analysis history yet
Version: 1.0.0
Backend: FastAPI + Firebase
Frontend: Vanilla JS + CSS3
VocalGuard is an AI-powered solution designed to detect and prevent vishing (voice phishing) attacks in real-time. Our mission is to protect individuals and organizations from sophisticated phone scams that exploit emotional manipulation and urgency tactics.
VocalGuard employs a multi-faceted analysis approach:
The combined risk score provides a comprehensive assessment: Safe (<0.4), Suspicious (0.4-0.7), or Risky (>0.7).
Team Name: The Newtonians
Team ID: 11601
Chapter: Global
Challenge Category: Cyber-Technology & Security
Team Members:
Institution: St. Joseph Higher Secondary School
VocalGuard was developed as part of the Conrad Challenge, focusing on innovative solutions for cybersecurity and consumer protection. Our interdisciplinary team combines expertise in machine learning, audio processing, and user experience design to combat the growing threat of vishing attacks.
We take your privacy seriously. All audio files are processed securely and temporarily. No recordings are permanently stored without your consent. User data is encrypted and protected by Firebase security rules.
For questions, feedback, or partnership inquiries, please reach out to us: