a machine learning model that will classify SMS messages as either "ham" or "spam". A "ham" message is a normal message sent by a friend. A "spam" message is an advertisement or a message sent by a company.
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Updated
May 13, 2023 - Jupyter Notebook
a machine learning model that will classify SMS messages as either "ham" or "spam". A "ham" message is a normal message sent by a friend. A "spam" message is an advertisement or a message sent by a company.
Spam Ham Classifier: A Python Flask application for categorizing messages as spam or ham. This classification is based on analyzing existing data in the database and predicting the likelihood of a message being spam or ham, without the use of machine learning.
Text categorization for Disaster Response using NLP model
Machine learning-based SMS spam classifier using NLP and text classification.
WhatsApp-style message notification router: notify, digest, or mute using rules, personalization, scam detection, and optional voice ASR.
A clean, provider-agnostic message classification service using AI models. Built with modern Python practices, featuring robust configuration management and optimized performance through intelligent caching.
AI-powered WhatsApp Message Notification Router built for HackerRank Orchestrate August 2026. Routes incoming messages into Notify, Digest, or Mute using deterministic security rules and LLM-based personalized reasoning.
An LSTM based algorithm to classify emails to spam and non spam
Pipeline for classifying messages sent out during disaster events and building and running a small web app for message classfication
a machine learning model that will classify SMS messages as either "ham" or "spam". A "ham" message is a normal message sent by a friend. A "spam" message is an advertisement or a message sent by a company.
Message classification for disaster management
Machine Learning with Python solutions
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