/SMS_Spam_Detection

Primary LanguageJupyter Notebook

SMS Spam Detection

WEB APP

Main objective

The goal is to create a system that can accurately classify incoming text messages as either spam or not spam. Users should be able to input text messages into the web app, and the system should identify whether message is likely to be spam or not. The application should provide a user-friendly interface for inputting messages and displaying the classification results clearly.

  • To achieve this objective, it was further broken down into the following 6 technical sub-objectives:
    1. Data Gathering
    2. Clean the Data
    3. SMS Text Analysis
    4. Feature Engineering
    5. Rule Based SMS Spam Detection
    6. A Machine Learning Approach to SMS Spam Detection

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Flow Chart of SMS Spam Detection System