title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	pinned
IoT Sensor Data RAG for Smart Buildings	🏢	blue	indigo	streamlit	1.42.1	app.py	false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

IoT Sensor Data RAG for Smart Buildings

🏢 What I Built

I created a complete RAG (Retrieval-Augmented Generation) system for smart buildings that:

• Processes real-time IoT sensor data (temperature, humidity, power)
• Integrates maintenance manuals and building specifications
• Provides predictive maintenance insights
• Detects anomalies in sensor data
• Gives operational optimization recommendations

🎯 Key Features

• Real-time IoT Monitoring: Live sensor data streaming with anomaly detection
• Smart Document Search: Ask questions about maintenance and get AI-powered answers
• Predictive Analytics: Equipment failure prediction and maintenance tips
• Modern Dashboard: Clean Streamlit interface with real-time visualizations

🚀 How to Run Locally

Step 1: Clone and Setup

git clone https://github.com/itsnewcoder/iot-smart-building-rag.git
cd iot-smart-building-rag

Step 2: Install Dependencies

pip install -r requirements.txt

Step 3: Run the App

streamlit run app.py

Your app will open at: http://localhost:8501

🌐 Live Demo

Try it online: https://huggingface.co/spaces/imnikhilraj/iot-smart-building-rag

🔧 How to Use

Dashboard Tab

1. Click "Start Stream" to begin sensor data simulation
2. View real-time temperature, humidity, and power readings
3. See detected anomalies and maintenance recommendations

RAG QA Tab

1. Ask questions like "How to reset chiller pump?"
2. Get AI-powered answers based on maintenance manuals
3. View source documents and relevance scores

Evaluation Tab

1. Test the system with custom queries
2. See retrieval performance metrics
3. Check response latency and accuracy

Data Manager Tab

1. View indexed documents
2. Upload new PDFs/TXTs to expand knowledge base

📁 Project Structure

iot-smart-building-rag/
├── app.py                      # Main Streamlit app
├── requirements.txt            # Python packages
├── rag/                       # RAG system core
│   ├── ingest.py              # Document processing
│   ├── retrieval.py           # Search engine
│   ├── generate.py            # AI responses
│   └── evaluate.py            # Performance metrics
├── models/                     # Predictive models
│   └── predictive.py          # Anomaly detection
├── data/                       # Sample data
│   ├── manuals/               # Maintenance guides
│   ├── specs/                 # Building specs
│   └── sensors/               # IoT sensor data
└── .streamlit/                 # App configuration

🧪 Sample Data Included

• HVAC Sensor Data: Temperature, humidity, power consumption readings
• Chiller Manual: Maintenance procedures and fault codes
• Building Specifications: System requirements and configurations

🔍 Technical Details

• Embeddings: Sentence-Transformers (all-MiniLM-L6-v2)
• Vector Database: ChromaDB with cosine similarity
• LLM: Local Transformers + OpenAI API (optional)
• Anomaly Detection: Rolling z-score analysis
• Chunking: 500 tokens with 50 token overlap

📊 What I Achieved

✅ IoT Data Processing: Real-time sensor streaming and analysis ✅ Document RAG: Intelligent search through manuals and specs ✅ Predictive Maintenance: Equipment failure prediction algorithms ✅ Anomaly Detection: Statistical analysis for sensor anomalies ✅ Modern UI: Professional Streamlit dashboard ✅ Evaluation Metrics: Performance testing and quality assessment

🎓 Academic Project

This project demonstrates:

• Complete RAG system implementation
• IoT data integration and processing
• Predictive analytics for smart buildings
• Vector database usage (ChromaDB)
• Modern web application development

🚀 Deployment

Local Development

streamlit run app.py

Production Server

streamlit run app.py --server.port 8501 --server.address 0.0.0.0

📞 Support

• GitHub Issues: Report bugs here
• Live Demo: https://huggingface.co/spaces/imnikhilraj/iot-smart-building-rag
• Source Code: https://github.com/itsnewcoder/iot-smart-building-rag

Built by Nikhil Raj 🚀