Joshua Rock@joshuarock10038365

1. Project Overview & Problem Statement Unplanned industrial downtime costs manufacturing and logistics plants billions annually, with electric drive and conveyor systems representing the most common failure points. Conventional SCADA systems only trigger static alarms after thermal or vibration thresholds have already been breached, leaving plant operators with reactive emergency repairs rather than actionable predictive interventions. ForgeMind AI is an intelligent operational continuity and condition monitoring engine designed for high-stress industrial machinery (such as the CONV-MTR-01 conveyor motor). It bridges raw industrial sensor telemetry with autonomous root-cause hypothesis generation and closed-loop work-order dispatching. 2. Architecture & How It Works ForgeMind AI integrates a real-time data streaming pipeline with an AI diagnostic agent optimized for AMD ROCm acceleration and MI300X enterprise inference:

The Intelligent Web Information Retrieval Agent is an autonomous, accuracy-first AI system built for AMD AI League Match 4. Given a starting website URL and a natural-language query, the agent autonomously navigates complex multi-page websites, locates factual answers, and returns verbatim supporting proof with exact source attribution. Unlike conventional scrapers or conversational agents prone to hallucination, this system prioritizes factual fidelity through an innovative Dual-Stage Guardrail Architecture: Deterministic Code Check: A Python-level verbatim algorithm verifies that the extracted evidence quote appears character-for-character within the fetched web page, automatically rejecting fabricated quotes. Entailment Verification Pass: A dedicated reasoning audit ensures the quote directly answers the query before accepting. Zero-Hallucination Fallback: If information is absent or unverifiable, the agent reliably outputs 'found: false' rather than guessing, achieving a 0.0% hallucination rate across impossible test queries. Key Technical Innovations: Dynamic Search Form Discovery: Automatically discovers HTML forms, query fields, and dropdown selectors with full 302 and meta-refresh redirect traversal—handling complex sites like Wikipedia without site-specific heuristics. BM25Okapi Efficiency: Semantically ranks anchor texts and page chunks to minimize context window consumption and latency. Enterprise Security: Enforces RFC1918 SSRF protection, registered-domain confinement, and robots.txt compliance. AMD ROCm Acceleration: Engineered for seamless deployment on AMD Instinct GPUs (MI210, MI250, MI300X) and Radeon hardware via vLLM with zero code changes. The application features a responsive dashboard with a live visual navigation graph and an in-browser batch benchmark runner, achieving 96.6% accuracy on evaluation benchmarks.

Six Matches. One leaderboard. Build on AMD, earn points and compete for prizes.

🌎 Hybrid Hackathon | 💻 Online Build: 3–8 November 2026 | On-site Phase: 8 November 2026 📍 On-site Venue: Pierpont Place 163 W Pierpont Ave, Salt Lake City, UT 84101, USA ✨ Please note that travel and accommodation are not covered.

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.