David Hendrya@limbahguna350

Limbahguna is designed to solve one of the most pressing challenges for modern enterprises: efficient and sustainable waste management. Our platform integrates state-of-the-art computer vision models with robotic automation to identify and sort materials with industrial-grade precision. By moving beyond simple detection, Limbahguna creates an end-to-end "intelligent loop" where digital insights directly trigger physical actions. Using agentic AI workflows, we automate the decision-making process required for complex material recovery. This approach allows enterprises to significantly reduce contamination in recycling streams, lower operational overhead, and meet stringent ESG (Environmental, Social, and Governance) targets. We aren't just building a scanner; we are building the autonomous infrastructure for a circular economy. Our solution is built to be scalable and adaptable to various industrial environments, ensuring that "waste" is treated as a resource rather than a liability. By providing real-time data and automated handling, Limbahguna transforms waste management from a manual cost center into a strategic component of a smart, digital-first enterprise. This is how we make sustainability practical, profitable, and fully automated.

Waste sorting is often slow and prone to human error, hindering the circular economy. We created Limbahguna to bridge the gap between digital identification and physical robotic action.Our system utilizes a unique Triple-Agent Architecture: 1.Groq LPU acts as the 'Tactical Neural Brain,' identifying waste grades in milliseconds. 2. Kiro (hosted on Vultr) is the 'Executive Agent,' autonomously commanding robotic arms to sort waste into physical bins without human intervention. 3. Google Gemini serves as the 'Strategic Brain,' analyzing long-term data to provide actionable circular economy insights and carbon-saving reports. By syncing everything through Supabase and hosting the dashboard on Netlify, we’ve built an end-to-end ecosystem that has already proven its impact by saving 1.2 kg of $CO_2$ in a single test run. This isn't just a scanner; it’s the future of autonomous environmental preservation.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 💰 $10,000+ total prize pool Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

Join our $1,000,000+ startup challenge series powered by Surge 📌 This announcement outlines the launch of a Global Human+AI Exchange — aligning universities, global cities, talent networks, and industry to accelerate human-centered AI innovation, technology transfer, and economic growth. 👉 Read more here ⏱️ 8 days to turn your idea, or existing product, into an investable demo. 📅 February 6 - 15, 2026 • Feb 6 - 14 (Online Phase) - Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on February 14th. 🕙 Doors open at 10:00 AM, first come, first served. • Feb 14 (On‑site Build Day) - Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Feb 15 (On‑site Demos & Awards) - Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. 🌟 Get feedback from startup mentors and technical experts. 📍 On-site Venue (Feb 14–15): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📲 Real-time on-site updates (SF) For real-time announcements and information during the on-site portion (Feb 14–15), join the LabLab SF Chapter WhatsApp group: 👉 Join the WhatsApp group 🤝 Join solo or with a team. New founders and existing startups are welcome. 🏆 $1,000,000+ in credits, token prizes, perks and funding opportunity. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Apply now to build, validate, and pitch with purpose.