Spam-Detector-AI is a Python package for detecting and filtering spam messages using Machine Learning models.

Anti flood bot example made using aiogram 3.13.1

SMS Spam Prediction Using Bidirectional Encoder Representations from Transformers

A machine-learning based spam detector that runs on top of an asynchronous, non-blocking IO HTTP server.

PHP library for https://www.stopforumspam.com/usage web service API

Spam Detection AI Python

A spam detector built with tkinter.

A simple telegram bot based on GramIO to kick spam bots

AI Based Spam Detector for detecting spam emails and SMS. Written in python.

Spam-Detection Model Trained using Data Science and Machine Learning and Deployed online.

Modern CAPTCHA-like challenges for users

Simple spam filter for Python and Brython.

Spam Detection app to identify potential spam emails and SMS

This repository represents my journey in NLP as everything is in order how I proceeded to learn NLP

Naive Bayes implementation is a popular statistical technique of e-mail filtering. It uses a bag of words to identify spam e-mail.

A web-based Email Spam Detector that classifies emails as spam or legitimate using a Naive Bayes-inspired keyword scoring approach

Detects spam messages using machine learning and natural language processing. Built with Python, NLTK, and scikit-learn for accurate SMS classification.

Email spam classifier built with scikit-learn, comparing Logistic Regression and Naive Bayes on text data.