SLAB Hackathon - Christ Uni Edition
Banglore, we’re bringing SLAB to Christ !
SLAB Self-Learning Agent Browser is a hands-on hackathon hosted by webcmd, where you’ll build Browser Agents that can research, test, monitor, book, shop, and complete useful work across real websites.
Come with an idea, join a team, or build solo. No prior browser-automation experience is required. We’ll begin with a practical Browser Agents 101 walkthrough so everyone can start building quickly.
THE THEME: BROWSER AGENTS
Build an agent that solves a meaningful, real-world browser workflow.
BUILD WITH WEBCMD
webcmd is self-learning browser infrastructure for AI agents.
Your agent can explore an unfamiliar website, preserve what it learns, and transform stable workflows into reliable commands with structured output.
Explore once. Learn the workflow. Reuse the command.
Get started:🔹 agentrhq/webcmd
The webcmd team will be there to help with setup, browser workflows, adapters, and debugging.
🛠️ BRING YOUR PREFERRED STACK
Use Codex, Claude Code, OpenClaw, Playwright, Browser Use, browser MCPs, local or hosted models, and any other tools that help your agent complete the job.
⚖️ JUDGING 100 POINTS
🟢 Live reliability: 30💡 Real-world usefulness: 25🧠 Technical depth and recovery: 20✨ Creativity: 15🎤 Demo and storytelling: 10
🚨 TWO HARD RULES
Your demo must run live or use a screen recording captured from a real execution.
Build responsibly. Use your own accounts, respect platform terms, and keep a human approval step for payments, messages, submissions, deletions, and other sensitive actions.
👥 Build solo or form a team of up to four.
🎒 Bring a laptop, your preferred model or API keys if you have them, and one browser workflow you’d love to stop doing manually.
🙌 Open to AI-agent builders, developers, students, founders, open-source contributors, automation enthusiasts, and anyone curious about giving agents useful access to the real web.
No prior webcmd or browser-automation experience is needed.
📍 : Department of Artificial Intelligence and Data Science Engineering (ADSE),
CHRIST (Deemed to be University), Bangalore – Kengeri Campus, Mysore Road, Kanmanike, Kengeri, Kumbalgodu, Bengaluru, Karnataka – 560074, India
Spots are limited. Hit RSVP and bring a friend who builds.