Pi 5 LLM-Powered IoT Dashboard: Ask Your Home Sensors Anything in Plain English

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Forget rigid dashboards. With this kit, you’ll deploy Ollama, a local large language model, on a Raspberry Pi 5 to answer spoken or typed questions about your environment. Walk into your room and ask, “Was it warmer yesterday afternoon than today?” and the system instantly pulls temperature, humidity, and pressure history from wireless sensors to craft a human-language reply. It’s edge AI made tangible — no cloud, no subscriptions, just your own AI assistant reading real-world logs.

What You'll Build

You’ll assemble a complete IoT stack: two ESP32s broadcast DHT22 and BMP280 readings to the Pi 5, which stores time-series data on a 512GB NVMe SSD. A responsive web dashboard visualizes this history, while the integrated Ollama LLM interprets natural language queries. Type “Show me the highest humidity this month” or “How did pressure change yesterday?” and get an answer backed by actual sensor logs. You can also compare trends, set alerts, or simply explore data through conversation.

What You'll Learn

• Installing Ollama and running a local LLM on a Raspberry Pi 5 without internet dependency
• Building a wireless sensor mesh using ESP32 boards, DHT22 temperature/humidity sensors, and BMP280 pressure sensor
• Collecting, timestamping, and storing IoT data on an NVMe SSD, then querying it with Python and SQL
• Creating a natural-language interface that maps user questions to database queries using the LLM’s reasoning

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Designed for CBSE Class 11–12 students diving into AI/ML, B.Tech ECE/EEE second-year learners exploring edge intelligence, and Smart India Hackathon teams prototyping real-world IoT solutions. It also fits ATL Tinkering Labs, college clubs at IIT/NIT/VIT/BITS, and any maker who wants to combine local LLMs with physical sensors — no prior AI/ML experience required, just a curiosity to build a genuinely smart home.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.