dadman43/iot-sensor-rag-system

IoT Sensor Data RAG for Smart Buildings

A comprehensive Retrieval-Augmented Generation (RAG) system that processes IoT sensor data, maintenance manuals, and building specifications to provide predictive maintenance insights and operational optimization for smart buildings.

Features

• —Real-time IoT Sensor Data Processing: Ingests and processes sensor data from HVAC, electrical, and security systems
• —Document Integration: Processes maintenance manuals and building specifications
• —Predictive Maintenance: ML-powered failure prediction and maintenance scheduling
• —Anomaly Detection: Real-time detection of unusual sensor patterns
• —Operational Optimization: Energy efficiency and system performance recommendations
• —Interactive Dashboard: Streamlit-based web interface for monitoring and querying

Quick Start

The application will start automatically when deployed to HuggingFace Spaces. Simply interact with the web interface to:

1. 1.Generate IoT Data - Create realistic sensor readings
2. 2.Run Anomaly Detection - Identify unusual patterns
3. 3.Predict Maintenance - Get maintenance recommendations
4. 4.Ask Questions - Query the RAG system about building operations

Architecture

• —Frontend: Streamlit web application
• —Vector Database: ChromaDB for document embeddings
• —Embeddings: HuggingFace Sentence Transformers
• —ML Models: Scikit-learn for anomaly detection and predictive maintenance
• —Data Processing: Pandas and NumPy for sensor data analysis