Sadia Eman@eman_sadia

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.

CivicVoice Al is an Al-powered multi-agent voice assistant designed for smart city power outage management. The system allows users and operators to interact through natural voice or text conversations. It uses Whisper STT to convert voice into text, Groq/OpenAl LLM for intelligent responses, and Piper TTS to generate spoken replies. The project includes multiple agents such as an Orchestrator Agent, Memory Agent, Research Agent, and Smart City Power Outage Agent. These agents work together to understand requests, remember user context, analyze outage events, calculate risk scores, and recommend response actions. The system can simulate transformer or feeder failures, identify affected users, prioritize critical zones such as hospitals and residential areas, and provide useful recommendations for response teams. It also includes a smart dashboard showing affected users, critical incidents, average risk, active feeders, service status, city zone monitoring, and outage intelligence. CivicVoice Al helps city teams respond faster, communicate better, and make smarter decisions during power outage events.

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📅 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.