Sawera Ansar@Saweraa

LabPilot AI is an AI powered Laboratory Safety Assistant designed to improve safety, hazard awareness. It addresses a common problem where students and researchers often lack immediate access to accurate laboratory safety guidance while handling chemicals, biological materials, and laboratory equipment. By combining scientific knowledge with artificial intelligence, the platform delivers quick, reliable, and user friendly safety assistance to help reduce laboratory accidents. The project's aim is to promote safer laboratory practices through intelligent guidance. Its objectives include identifying chemical hazards, recommending appropriate Personal Protective Equipment (PPE), providing biology and physics safety guidance, supporting laboratory risk assessment, generating safety reports, and answering laboratory related questions through an AI assistant. Key features include AI powered laboratory consultation, chemical hazard search, PPE recommendations, chemistry, biology and physics safety modules, laboratory safety reports, dashboard analytics, voice search prototype, downloadable reports, and a simple, responsive interface for students and researchers. LabPilot AI was developed using HTML, CSS, JavaScript, Node.js, Express.js, REST APIs, Git, GitHub, and Fireworks AI for language model integration. Building the project required extensive effort in frontend and backend development, AI integration. The vision is to evolve LabPilot AI into a digital laboratory companion for universities, research institutions, pharmaceutical and biotechnology industries. Future versions will include multilingual support, image based hazard detection, Safety Data Sheet integration, cloud databases, experiment risk prediction, and laboratory monitoring. The project demonstrates how artificial intelligence can enhance laboratory education, improve compliance with safety standards, reduce human error, and create safer research environments through accessible and intelligent technology.

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.

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.