A Python-based machine learning project to classify emails as spam or not spam. This system uses algorithms like Naive Bayes or Logistic Regression to detect spam with high accuracy, providing a reliable solution for email filtering.
A Deep Learning–Powered Real-Time Email Classifier Detect and block unwanted messages instantly with high accuracy using a transformer-based NLP model. Built with Hugging Face's DistilBERT and Flask, this app intelligently identifies phishing, promotional, and spam emails to keep your inbox clean and secure.
A simple and effective machine learning model to classify emails as spam or not spam using TF-IDF and Naive Bayes. Built during my internship at Elite Tech to explore real-world NLP and email filtering techniques.
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