Smart Green Building Platform: Enhancing Indoor Air Quality with AI and IoT

The primary objective of this project is to develop a spatially intelligent smart green building platform that enhances indoor air quality (IAQ) monitoring and management through AI-driven analytics and IoT devices. This platform aims to revolutionize smart building management by leveraging real-time sensor data, AI-based anomaly detection, and multi-modal retrieval-augmented generation (RAG) to improve air quality and environmental conditions in commercial and residential buildings. Key focus areas include: Integration with External Data Sources : Connect with public air quality datasets, IoT sensor networks, and corporate environmental reports to enhance IAQ analytics. Localized LLMs with Multi-Modal RAG : Use retrieval-augmented generation (RAG) techniques for analyzing sensor data and generating actionable insights on air quality trends. AI-Agent Solutions for Abnormality Detection : Deploy AI-driven agents to identify air quality anomalies and provide automated handling solutions. Spatial Intelligence for IAQ Optimization : Utilize location-based data to optimize ventilation, HVAC control, and pollutant mitigation strategies . Automation of IAQ Monitoring and Reporting : Implement AI-driven analytics to replace manual assessments with real-time, data-driven decision-making. Enhanced User Interface & Experience : Develop an intelligent dashboard that provides interactive visualizations and alerts for indoor air quality monitoring. Advanced AI-Driven Report Generation : Utilize IoT sensor data and generative AI to create detailed reports on air quality trends, pollutant sources, and mitigation strategies.

Revolutionizing Green Finance and Smart Buildings: AI-Powered ESG Reporting with IoT Data Integration

The main goal of the project by Smart Location Tech Ltd is to develop a smart green building platform that addresses the challenges of poor adoption of ESG (Environmental, Social, and Governance) assessment processes in green finance investment portfolios and smart green building management in the property industry. Specifically, the platform aims to: Enhance ESG Data Utilization : Empower ESG data and analytic results with unique location signatures to form a robust infrastructure for green finance. Automate ESG Analytics : Replace unorganized and subjective ESG analytics with automated procedures that follow international standards. Improve Efficiency and Cost-Effectiveness : Build a platform that delivers game-changing low cost and high efficiency in managing smart green buildings. Generate ESG Reports Using AI : Use IoT data and generative AI to create comprehensive ESG reports for companies.