Build Your Own ESP32 Rain Prediction Weather Node with TFLite AI

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

Imagine a compact device sitting on your desk that reads air pressure, humidity, and light, then uses machine learning to predict rain — no cloud needed. With this kit, you’ll build exactly that: an ESP32 weather node running a TFLite classifier that forecasts rain probability from local sensor patterns. It’s a hands-on project that turns a microcontroller into an intelligent weather assistant, perfect for school submissions, hackathons, or exploring AI at the edge.

What You'll Build

You'll assemble a standalone weather node that continuously monitors environmental data and displays a rain probability percentage on its OLED screen. The device detects pressure drops and humidity rises — the classic signatures of approaching rain — and feeds them into a trained neural network right on the ESP32. Within a few hours, you’ll have a personal micro‑weather station that makes predictions without ever connecting to the internet.

What You'll Learn

• Wire and read I2C sensors (BMP280, BH1750) alongside a digital humidity sensor (DHT22) on the ESP32
• Collect real‑time environmental data and extract pressure trends and humidity patterns as ML features
• Deploy a TensorFlow Lite model on a microcontroller to perform on‑device inference
• Display live sensor readings and prediction results on a 0.96‑inch OLED display

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Students in CBSE Class 11–12 crafting physics or computer science investigatory projects will find this kit brings textbook concepts to life. First‑year B.Tech ECE or EEE learners can use it for IoT lab work or Smart India Hackathon prototypes that showcase edge AI. ATL tinkering labs and hobbyists setting up a local weather dashboard will also appreciate the all‑in‑one approach — no extra soldering or coding guesswork required.

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.