LE Nichols@le_nichols118

EduGuard Agent is an AI security assistant built for schools and universities. Running on AMD hardware with Evolus workflows, it keeps student data safe by monitoring user accounts and activity. EduGuard scans for three main risks: staff keeping unnecessary permissions, unused accounts left open after employees leave, and suspicious behavior like late-night mass file downloads. When it detects a threat, EduGuard explains the issue in simple language and suggests a clear fix. It never makes changes automatically—an IT administrator simply reviews the recommendation and approves the fix with a single click to protect campus data.

"Talk to DB" is an innovative chatbot designed as a helpful assistant with a chat-style interface. It proves to be particularly useful by providing users with insightful information about the dataset it has access to or is currently connected with. This chatbot seamlessly integrates prompts, allowing users to ask straightforward questions about the dataset. The responses generated are not only based on the raw data but also enriched by the integrated Yi language model, offering a comprehensive and detailed interaction. Users can interact with the chatbot by posing inquiries about the data, and in return, they receive informative and well-elaborated answers. The combination of direct data-driven responses and insights from the Yi language model enhances the user experience, making it a powerful tool for data exploration and analysis. Whether users are seeking specific details, trends, or patterns within the dataset, "Talk to DB" streamlines the process by providing comprehensive answers. The chat-style interaction makes it user-friendly, catering to individuals with varying levels of technical expertise. In summary, "Talk to DB" is not just a conventional chatbot; it's a versatile and intelligent assistant that facilitates a dynamic conversation between users and their datasets, offering a unique blend of data-driven responses and insights from the integrated Yi language model.

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🌎 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.

Explore the power of Yi series models in the Yi-6B and Yi-34B variations, featuring a context window of 200K for innovative language-based applications.