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.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

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