Spam Filter Using Regular Expressions is a simple web-based project that implements a spam filtering system using HTML, CSS, and JavaScript. The project uses regular expressions (regex) to identify common patterns associated with spam messages, such as suspicious words, email addresses, or phone numbers. It provides users with an interactive form where they can input text, and the system evaluates whether the text might be spam based on predefined regex patterns.
This project helps demonstrate the power of regular expressions in text processing and can be easily expanded to handle more complex spam filtering tasks in web applications.
- Spam Detection: Identifies text that matches known spam patterns such as fake phone numbers or email addresses.
- Interactive Interface: Provides a simple user interface where users can input text to be checked for spam.
- Regex-Based Filtering: Utilizes regular expressions for pattern matching to detect suspicious content.
- HTML: Structure of the webpage and form elements.
- CSS: Basic styling for the form and results.
- JavaScript: Handles user input, regex matching, and dynamic results display.
spam-filter-regex/ │ ├── index.html # Main HTML file ├── styles.css # External CSS file for styling the page ├── script.js # JavaScript file that handles spam detection logic └── README.md # Project documentation (this file)
To run this project locally, follow these steps:
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Clone the repository:
git clone https://https://github.com/mdkeum/Spam-Filter-Using-Regular-Expressions.git -
Navigate to the project folder:
cd Spam-Filter-Using-Regular-Expressions -
Open the index.html file in your browser: Open the index.html file directly in your web browser. The spam filter form will be displayed.
Use the Spam Filter:
Type or paste text into the input box, and the app will check for patterns that resemble spam. If spam is detected, the app will display a message indicating that the input may be spam.
Text Input: Users can enter text into a simple form. Spam Detection: The app checks for spam-like content, including email addresses, phone numbers, and common spam words. Result Display: The app shows whether the input is likely spam or clean based on regex matching.
Suspicious email addresses (e.g., [email protected]) Fake phone numbers (e.g., +1 800 555 1234) Common spam phrases (e.g., win a free iPhone)
Enhanced Spam Detection: Add more sophisticated regex patterns to detect additional spam content. Backend Integration: Integrate with a backend API to perform more advanced spam filtering techniques, such as machine learning-based detection. User Authentication: Allow users to save their filtered messages or reports.
This project is open-source and available under the MIT License.
Md.Keum
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Project Overview: A brief introduction to the purpose of the project (spam filtering using regex).
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Features: Highlights the core features, such as spam detection and regex-based filtering.
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Technologies Used: Mentions the technologies used to build the project (HTML, CSS, JavaScript).
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Project Structure: Shows how the project is organized and which files are included.
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Getting Started: Provides instructions for setting up the project locally, including how to clone the repository and run it.
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Usage: Explains how to use the app, such as entering text and detecting spam.
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Future Improvements: Suggests ideas for expanding or improving the project, like adding more advanced detection or backend support.
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License: A section about the project’s license, which you can adjust as needed (e.g., MIT License).
If you need a .gitignore for this project, here's an example:
# Ignore node_modules if you use npm
node_modules/
# Ignore log files
*.log
# Ignore OS-specific files
.DS_Store # macOS
Thumbs.db # Windows
# Ignore IDE-specific files
.vscode/ # Visual Studio Code
.idea/ # JetBrains IDEs
# Ignore temporary files
*.bak
*.tmp
This .gitignore will ensure that unnecessary files, such as IDE settings, OS-specific files, and logs, are not tracked by Git.