用 Jev 把飞书工作消息分成四类：紧急、待办、值得看、暂时略过。A minimal, local-first message classifier with extensible workspace adapters.
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.
Pipeline for classifying messages sent out during disaster events and building and running a small web app for message classfication
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.
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.
An LSTM based algorithm to classify emails to spam and non spam
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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