Avishek Rauniyar @Avishek81

ShieldFlow addresses the modern privacy crisis where applications silently exfiltrate telemetry and tracking data. Built for the AMD/NVIDIA AI era, it provides a "Zero-Trust" networking environment for Linux users. Unlike traditional firewalls that are complex and manual, ShieldFlow utilizes a hybrid AI architecture: a local ONNX-powered classifier for high-speed tracker detection (<50ms) and an expert AI Analyst (powered by NVIDIA GLM 4.7 via MCP) for deep forensic reasoning. Key innovations include real-time binary-to-connection mapping (knowing exactly which app is leaking data), a one-click "Shield Mode" for instant OS hardening, and a professional forensic reporting engine. By utilizing the Model Context Protocol, ShieldFlow creates a modular ecosystem where the AI can "see" and "interact" with network state through standardized tools. This project proves that high-end security and AI analysis don't require sacrificing privacy to the cloud. It’s 100% local, encrypted with SQLCipher, and optimized for high-performance Linux environments.

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