This project focuses on implementing a AI and Digital twin-driven decision support system for for smart building facilities management using digital twins, and large language models (LLMs). The aim is to enhance facility management through AI-driven insights and digital twin visualizations.
- Digital Twin Visualization: Creates a virtual replica of building systems to provide real-time monitoring and decision support.
- Large Language Models (LLMs): Incorporates LLMs for advanced data analysis and natural language processing to improve governance and operational efficiency.
- AI-Driven Insights: Provides actionable insights through AI and data analytics to optimize building management and operations.
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- Open-source Large language model (e.g., LLaMA)
- Groq API
- Generative AI inference tool. llama.cpp
- Python 3.10
- Raspberry Pi and IoT sensors
Coming soon.....
This project is licensed under the MIT License.
Under preparation...