BUBA GAMP: Industrial AI Agent

An autonomous AI agent powered by Gemini that reduces complex manufacturing logistics and industrial quoting from 48 hours to just 5 minutes.

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Inspiration

Most AI hackathon projects focus on consumer apps or shiny novelties. We looked at the real world. In the manufacturing and logistics sectors (specifically custom cabinetry and industrial quoting), processing a client's request, calculating materials, and generating an accurate quote manually takes up to 48 hours. The inspiration for BUBA GAMP came from the trenches: we needed to liberate human operators from soul-crushing spreadsheet work and bottlenecked logistics.

What it does

BUBA GAMP is an autonomous Industrial AI Agent. Instead of acting like a simple chatbot, BUBA operates as a "software factory." It ingests complex client requirements, processes industrial variables, and orchestrates workflows to output precise manufacturing quotes and logistical plans. It reduces a 48-hour manual process down to a 5-minute automated pipeline, completely changing the cash-flow velocity of a traditional business.

How we built it

BUBA is orchestrated using Python, integrating the Gemini API as its core reasoning engine. We built a robust API Rotator to handle rate limits and ensure industrial-grade fault tolerance. The backend utilizes FastAPI, while the frontend provides a clean, unified dashboard built with HTML/CSS/JS, allowing non-technical business owners to interact with complex AI processes seamlessly.

Challenges we ran into

Handling API rate limits during massive multi-step reasoning tasks was our biggest hurdle. We solved this by engineering an intelligent "API Rotator" that seamlessly switches keys and handles retries without crashing the system, ensuring BUBA remains reliable in a production environment.

Accomplishments that we're proud of

Taking an AI model out of the "chat" interface and integrating it directly into a physical manufacturing pipeline. Seeing the system successfully process a real industrial quote autonomously without human intervention was a massive victory.

What we learned

We learned that the true power of the Gemini API lies in its agentic capabilities—its ability to call tools, reason through sequential tasks, and act as an orchestrator rather than just a text generator.

What's next for BUBA GAMP

We plan to scale BUBA's architecture to handle integrations with ERP systems (like SAP) and expand its logistics capabilities to serve broader industrial sectors worldwide.

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