Project information
- Category: Web App
- Project: Final Year Project
- University: Air University, Islamabad
Project Details
A Web application developed in python-Flask that extract content of emails from email files and perform analysis on the body text using deep learning model, which was trained on publicly available dataset and tags emails as Fraudulent, harassing, Suspicious and Normal. Advance searching techniques such as search by sender, receiver, date, time and tag. PDF and HTML report can be downloaded once emails are classified. This tool support two file formats (eml and mbox). MOODBOX is very helpful in email forensic. In future direction many features will be added to expand our tool.