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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.
15 Feb 2026