Mood2Mail: A Lightweight Real-Time Email Tone Analyzer using Classical Machine Learning

Mood2Mail is a lightweight web-based tool that analyzes the tone of emails in real time using classical machine learning models. It aims to improve email communication by detecting tones like Friendly, Formal, Aggressive, Anxious, and Passive, and offering live feedback to users. This project explores the effectiveness of TF-IDF features with logistic regression and Naive Bayes on a custom-labeled dataset.