Hamayl Zahid@Hamaylzahid

GuardianAI is an AI-powered multi-agent personal safety platform designed to provide intelligent assistance before, during, and after emergency situations. Unlike traditional SOS applications that send a single alert and stop, GuardianAI coordinates multiple specialized AI agents to deliver continuous situational awareness and emergency response. The platform consists of five collaborative agents. The Route Agent recommends safer travel routes, the Guardian Agent analyzes potential threats and user context, the Emergency Agent coordinates SOS activation and intelligent escalation, the Community Agent learns from community-reported incidents to identify unsafe locations, and the Recovery Agent provides post-incident guidance and maintains a complete incident timeline. When an emergency is triggered, GuardianAI securely records the incident, shares the user's live location, and automatically notifies trusted emergency contacts through multiple communication channels including SMS, voice calls, and email. If the first contact does not respond within a configurable time, the system automatically escalates the alert to the next emergency contact until someone acknowledges the incident. Throughout the emergency, live location updates, evidence management, and incident tracking continue to provide responders with accurate and up-to-date information. Built using FastAPI, Python, HTML, CSS, JavaScript, and modern AI technologies, GuardianAI follows a modular architecture that enables scalability, reliability, and future expansion. The backend incorporates API authentication, rate limiting, secure evidence handling, and input validation to enhance security and protect user data. Our long-term vision is to evolve GuardianAI into a comprehensive AI safety ecosystem by adding offline SOS capabilities, wearable device integration, push notifications, WhatsApp alerts, predictive crime analytics, and deeper collaboration with emergency response services. .

Enterprises sit on vast archives of image-based documents — scanned reports, government publications, multilingual PDFs — that are impossible to query at scale. Existing tools either require clean text or work in a single language. Neither assumption holds in the real world. VaultIQ solves this with a Visual RAG pipeline: instead of extracting and indexing text, it uses PageIndex to build a visual reasoning graph directly from the PDF pages. When a user asks a question, PageIndex identifies which pages are relevant — then Llama 4 Scout (via Groq) reads those raw page images and generates a grounded answer with explicit page citations. No OCR errors. No layout destruction. Tables, charts, and Arabic typography are all handled natively. On top of the RAG pipeline, Lobster Trap acts as a governance proxy — sitting between the application and the LLM backend to enforce PII detection, firewall rules, rate limiting, and full JSON audit logging. Prompt injection attempts are blocked outright. High-risk queries are flagged for human review. Every interaction is logged. Enterprise-grade auditability, out of the box. POC: Arabic and English querying over the Madinah Tranquil Livable City 2024 report, achieving 93% answer accuracy vs. 81% for a text-based baseline — a +12 percentage point improvement driven entirely by reading the pages visually. Stack: PageIndex · Groq (Llama 4 Scout) · Lobster Trap · Streamlit · Python

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. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

In this hybrid hackathon powered by Arc, developers will build the next generation of agentic commerce systems using Arc with USDC. Explore a world where AI agents and web services can pay for APIs, data, compute, and content in dynamic, usage-based ways, while Arc provides stablecoin-native settlement with predictable USDC fees and deterministic, sub-second finality. This hackathon is supported by Google & Google DeepMind, with a dedicated challenge and $40,000 in Google Cloud Platform (GCP) credits awarded for the best use of Gemini models and Google AI Studio. 📅 January 9 – 24, 2026 • Jan 9 – 23 (Online Phase) – Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on January 23rd. • Jan 23 (On‑site Build Day – San Francisco, CA) – Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Jan 24 (On‑site Demos & Awards – San Francisco, CA) – Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (Jan 23–24): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆Compete for $50,000 in USDC & GCP Credits. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now - sign up before the Kick-Off Stream!