Project information

• Tech Stacks: Python, Jupyter Notebook, Flask, scikit-learn, matplotlib, pandas, numpy, JavaScript, React.js, Node.js, CSS
• Category: AI/ML, Web
• Live Demo: Visit Site
• Frontend Repository: Source Code
• Backend & ML Model Repository: Source Code

This project involves developing a machine learning model to classify emails as spam or not spam using Logistic Regression. The model is built in Jupyter Notebook with the scikit-learn library. The backend is powered by a Python Flask API that utilizes the ML model for email classification, while the frontend is a React.js application styled with CSS.