**Project Title:** Email Abuse Detection & Prevention System **Project Description:** I need a developer to build a secure and scalable system that can detect, classify, and prevent abusive or malicious emails in real time. The system should protect users from spam, phishing, offensive language, and suspicious activity while providing clear analytics and reporting. **Scope of Work:** - Build an email ingestion pipeline with secure handling - Implement NLP/ML models to detect spam, phishing, and abusive content - Real‑time classification and alerting system - Admin dashboard for monitoring flagged emails and user reports - Database integration (MySQL/MongoDB) for storing logs and analytics - Scalable backend with APIs for integration into existing systems - Documentation and hand‑off guide for future maintenance **Preferred Tech Stack:** - Backend: Python (Flask/Django) - ML/NLP: Scikit‑learn, TensorFlow, spaCy - Database: MySQL/MongoDB - Deployment: Ubuntu server with CI/CD integration - Frontend: Simple web dashboard (HTML/CSS/JS) **Deliverables:** - Fully functional email abuse detection system - Admin dashboard with analytics and reporting - Secure backend with authentication and logging - Documentation for setup, usage, and future updates **Budget:** $30 – $250 USD **Timeline:** 10–14 Days **Skills Required:** Python, Django/Flask, NLP/ML, MySQL/MongoDB, Web Development, Ubuntu, CI/CD