The Inbox Architect: Building a Spam Classifier

Act as a Machine Learning engineer and help me build a complete Spam Email Classifier project. Project Details: Project Name: Spam Email Classifier Goal: Automatically classify emails as Spam or Not Spam (Ham) using Machine Learning. Tasks to perform: 1. Explain the problem statement clearly. 2. Design the system architecture for the project. 3. Provide a step-by-step workflow of the system. 4. Explain dataset collection and preprocessing techniques. 5. Implement text preprocessing (lowercase, stopwords removal, punctuation removal). 6. Convert email text into numerical features using TF-IDF. 7. Train a machine learning model (Naive Bayes / Logistic Regression / SVM). 8. Evaluate the model using accuracy, precision, recall, and confusion matrix. 9. Build a simple user interface where users can paste email text and get prediction. 10. Explain how the system predicts whether the email is spam or not. Also include: - Python code using Scikit-learn - Project architecture diagram - Block diagram - Explanation suitable for a college project presentation - Suggestions for future improvements.