📱 SMS Spam Detection App

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A modern, user-friendly web application designed to help users identify Spam vs. Not Spam SMS messages instantly. The platform also provides insightful analytics on spam trends over time, catering to both casual users and administrators.

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📋 Table of Contents

• About the Project
• Key Features
• User Roles
• Getting Started
• Contributing
• License

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📖 About the Project

In an era of increasing digital communication, spam messages are more than just a nuisance—they are a security risk. This application provides a simple interface for anyone to verify the legitimacy of an SMS message.

Core Functionality:

• Instant Analysis: Paste a message and get an immediate "Spam" or "Not Spam" verdict.
• Trend Analysis: Visualizes data to show spam volume trends over weeks and months.
• Bulk Processing: Upload files to check multiple messages at once.

Note: For detailed visual designs and user flow diagrams, please navigate to the 🎨 Figma Design and 🔄 Workflows tabs.

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✨ Key Features

🔍 For Everyone

• Clean, intuitive Dashboard.
• Real-time spam detection.
• Historical data visualization.

For Admins

• System status monitoring.
• Adjustable spam detection sensitivity.
• User management and analytics.

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User Roles

Role	Description
Visitor	Can browse the landing page, read about the app, and sign up/login.
Regular User	Can check messages, upload batch files, and view personal/global statistics.
Admin	Has full access to system configuration, user logs, and model tuning parameters.

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Getting Started

(Instructions to be added once codebase is initialized)

1. Clone the repository:

   git clone https://github.com/yourusername/sms-spam-detection.git

2. Install dependencies:

   npm install
   # or
   pip install -r requirements.txt

3. Run the application:

   npm start
   # or
   python app.py

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Contributing

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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📝 License

Distributed under the MIT License. See LICENSE for more information.