Building a Spam Classifier using Machine Learning and Flask

Recently, I built a small project where I created a spam classifier that can detect whether a message is spam or not. This is part of my learning journey in Artificial Intelligence and Machine Learning, and I wanted to build something practical instead of just reading theory. 💡 Why I Built This While learning machine learning, I understood that just watching tutorials is not enough. The best way to learn is by building projects. Spam detection is something we see in real life (emails, messages, etc.), so I thought it would be a good project to start with. 🚀 What This Project Does The application takes a text message as input and tells whether it is: Spam Not Spam Example: Input: You have won a free iPhone! Output: Spam (Confidence: 99%) 🧠 How It Works (Simple Explanation) I used a basic machine learning pipeline: Clean the text (remove unwanted words and symbols) Convert text into numbers using TF-IDF Train a Naive Bayes model Use the trained model to predict new inputs 🛠 Tech Stac