Marvel Michael@marvelmichael

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.

It’s a great opportunity to: 🚀 Leverage Google’s advanced Gemma 2 models to create cutting-edge solutions. 💰 Access resources to support your project development. 🌟 Receive guidance from expert mentors throughout the hackathon. 🤝 Work solo or in teams to bring your ideas to life. 🏆 Compete for a chance to choose from unique Google swag and enjoy an opportunity to meet the Gemma team for the best solutions! 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot! 🗓️ On-site Workshops: Join us in-person at Google Cloud Space in London on 28th November from 5:00 PM to 9:00 PM UK time (GMT) for hands-on workshops

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