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Abstract: Text messaging (SMS) remains widely used due to its simplicity and accessibility. However, its popularity has led to a rise in spam messages, including ads, scams, and phishing links.

This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...

Abstract: While the world of digital communication is expanding at an unprecedented rate, email spam has emerged as a major problem causing security threats, information redundancy, and loss of ...

One of Python’s most persistent limitations is how unnecessarily difficult it is to take a Python program and give it to another user as a self-contained click-to-run package. The design of the Python ...

This project implements a machine learning model to classify SMS messages as "spam" or "ham" (not spam) using Decision Trees and TF-IDF vectorization. CS_Project_II/ ├── dataset/ │ └── spam.csv # SMS ...

Build a lab-scale water system, using a 3D printer, water pumps, and PVC pipes. Develop customized ESP32-based sensors for water quality and pressure monitoring. Learn basic data analysis in Python.