Akshmit Saxena@akshmit11

StudyBand is a multi-agent educational platform built for Track 1 (Internal Enterprise Workflows). It replaces the slow, manual process students go through to study a topic — researching, rewriting notes simply, creating practice questions, and checking answers — with four specialized AI agents that hand off work to each other automatically through Band.ai. The Researcher agent gathers structured study notes on any topic. It passes these to the Simplifier agent, which rewrites them in clear, education-level-appropriate language. The Quiz Master agent then generates multiple-choice questions from the simplified notes. Finally, the Evaluator agent grades the student's answers, gives encouraging feedback, and — if the score is below 80% — automatically triggers the Quiz Master to generate a shorter remedial quiz on the weak topics, creating a real feedback loop between agents rather than a one-way pipeline. All agent-to-agent communication happens inside a shared Band.ai room using @mentions, the same way a human team would hand off tasks in Slack — Band is the actual coordination layer, not a wrapper around a single LLM call. Built with Band.ai, Groq (Llama 3.3 70B for low-latency inference), AI/ML API (for switching between GPT-4o, Claude, and DeepSeek), LangGraph, Python, and Streamlit. Deployed live on Render with both the UI and all 4 agents running together. Beyond the hackathon, StudyBand has a clear path to revenue: a low-cost monthly subscription for individual students, white-label licensing to coaching institutes, or direct adoption by universities as an internal learning tool.

📅 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.