feat: Complete Spam Detection System Implementation

[Hashir-Mehran]

SpamShield AI | Enterprise Classification Node

I have successfully overhauled the Spam Detection System into an enterprise-ready security node. This PR introduces a complete UI redesign and significant feature enhancements for both Web and Mobile platforms.

🚀 Key Upgrades & New Features

• Enterprise Dashboard: Overhauled the UI into a "SpamShield AI" control deck for professional monitoring.
• Advanced Diagnostics: Added real-time character and word count tracking within the input stream.
• Multi-Format Pipeline: Integrated support for both SMS (Text) and Email (MIME) classification patterns.
• Live Threat Indexing: Implemented a visual threat index meter (0.0 to 1.0) to provide immediate risk assessment.
• Diagnostic Logging: Added an "Active Vector Cache" log memory bank for better tracking of classification history.
• Cross-Platform Synchronization: Optimized connectivity between Node.js backend and React Native/Web clients.
• Codebase Cleanup: Fixed environment variable handling and resolved navigation/UI bugs (e.g., header visibility in Expo).

🛠 Tech Stack

• Frontend: React, Tailwind CSS, Vite, Expo Router.
• Backend: Node.js, Express (API Gateway).
• AI Engine: Flask, Scikit-learn (SVM Linear Kernel).

Looking forward to your review and feedback on these enterprise-grade improvements!

[vercel]

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