Email Fraud & Scam Detector (AI + Rule-Based Django App)

An intelligent hybrid system that detects potential email scams using both machine learning and rule-based heuristics.
It analyzes sender authenticity, suspicious URLs, keywords, and tone to determine if an email is Safe, Suspicious, or Fraudulent.

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##Features

• AI Analyzer (Joblib Model) – Trained on real email datasets to classify messages as Safe or Fraudulent.
• Rule-Based Engine – Flags suspicious elements like short URLs, phishing words, and uppercase abuse.
• Detailed Analysis View – Displays full breakdown of sender, URLs, and rule triggers.
• Final Verdict – Combines AI model prediction with rule-based confidence.
• User Guidance – Offers safety recommendations based on results.

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Setup Instructions

1️⃣ Clone the Repository

git clone https://github.com/DIttoSensei/AI-Based_Email-Scam-Detector.git
cd AI-Based_Email-Scam-Detector

Create and Activate a Virtual Environment

python -m venv venv
venv\Scripts\activate   # On Windows
source venv/bin/activate  # On macOS/Linux

Install Dependencies

pip install -r requirements.txt

Run Database Migrations

python manage.py makemigrations
python manage.py migrate

Run the Development Server

python manage.py runserver