SpamShield AI

SpamShield AI is a real-time spam, phishing, and fraud email detection system built using Python and Streamlit.

The application analyzes pasted email content and assigns a fraud risk score based on suspicious patterns such as phishing attempts, invoice scams, fake document signing requests, dangerous attachments, account verification scams, and social engineering techniques.

Features

Real-time email analysis
Fraud risk scoring system
Professional UI dashboard
Scan history tracking using SQLite database
Download scan history as CSV
Detection dashboard metrics
Phishing and social engineering detection
Safe vs suspicious email classification

Detection Coverage

SpamShield AI can identify patterns related to:

• Phishing emails
• Fake account verification requests
• Invoice and payment scams
• AdobeSign / DocuSign impersonation
• Dangerous file attachments (.zip, .exe, .js, .bat, .vbs)
• Social engineering attacks
• Urgency-based fraud attempts
• Suspicious sender/domain behavior

Tech Stack

• Python
• Streamlit
• SQLite
• Pandas
• Regular Expressions (Regex)

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Project Structure

spamshield-ai/
│
├── app.py
├── database.py
├── spamshield.db
├── train_model.py
├── spam_model.pkl
├── requirements.txt
├── README.md
│
└── screenshots/
    ├── phishing_detected.png
    └── safe_email.png