DOGE Hackathon

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Streamline Squad

Alphacoder

exala

Helix_Pixelus1s

marvelmichael

rajeshthangaraj

AliyaAli

Our idea addresses energy inefficiencies in government entities by leveraging advanced technologies to reduce waste and promote sustainability. Using the GROK model integrated with a Retrieval-Augmented Generation (RAG) system and FAISS vector database, we analyze large datasets to identify energy waste areas quickly and effectively. The system provides actionable strategies to optimize energy consumption, such as upgrading equipment, adopting renewable energy, and reducing resource underutilization. A user-friendly interface built with Streamlit enables seamless interaction, allowing government departments to make data-driven decisions. This solution not only reduces energy costs by at least 25% but also ensures better resource allocation and significant environmental benefits.

A solution to reduce government energy waste using GROK, FAISS, and RAG systems. It identifies inefficiencies, provides optimization strategies, and offers actionable insights to cut costs, improve sustainability, and promote efficient energy use.

Efficienergy-Empowering energy efficiency with AI

"Streamline Squad team on DOGE Hackathon Hackathon"

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