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🤝 Top Collaborators
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🤓 Latest Submissions
AI Voice + Vision Emergency Assistant
AI Voice + Vision Emergency Assistant is a multimodal AI system designed to help users communicate and understand emergency situations using voice, images, and contextual information. The application combines speech-to-text, computer vision, and an emergency reasoning agent into one end-to-end workflow. A user can describe an emergency through voice and optionally provide an image of the situation. The voice module converts speech into text, while the vision module analyzes the image for potential hazards and relevant objects. These inputs are then combined by the emergency agent to determine a possible emergency type, severity level, confidence score, reasoning, and recommended safety actions. The project uses a React frontend and FastAPI backend to connect the different AI components. The backend provides an API for multimodal analysis, while the frontend presents the emergency assessment in an accessible dashboard. The goal is to demonstrate how modern AI infrastructure can combine voice, vision, and agentic reasoning into a practical real-world safety application. The system is designed as an emergency-assistance prototype and is not intended to replace professional emergency services or human judgment.
16 Sep 2026
Deal Desk: Self-Assembling AI Proposal Teams
Deal Desk is a Band-native multi-agent system that automates enterprise proposal generation from customer RFPs. Enterprise sales teams often need pricing, technical, and legal stakeholders to collaborate before responding to a customer. This process is slow, involves multiple handoffs, and creates bottlenecks that delay deals. Deal Desk solves this problem using a self-assembling team of AI agents running inside Band. When an RFP is submitted, a Coordinator agent analyzes the requirements and dynamically recruits only the specialists needed for that specific deal. A simple renewal may require only a Pricing Specialist, while a complex enterprise opportunity may recruit Pricing, Technical, and Legal Specialists. Each specialist creates its section of the proposal. A Reviewer agent then evaluates the output, identifies weaknesses, and requests revisions until quality standards are met. The system also includes human-in-the-loop guardrails. If a proposed discount exceeds 20%, the workflow pauses and requests human approval before proceeding. All collaboration happens natively inside Band through agent discovery, recruitment, messaging, review loops, and human participation in a shared room. Key features: 1. Dynamic specialist recruitment 2. Automated review and revision loop 3. Human approval workflows 4. Band-native orchestration 5. Enterprise proposal generation Deal Desk demonstrates how AI teams can transform a multi-day internal workflow into a process completed in minutes.
19 Jun 2026
