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ML Powered Temperature and Humidity Prediction

Bolt IoT Community

Overview

Machine learning powered temperature and humidity prediction system using Bolt IoT sensors and cloud-based ML models for forecasting.

This project demonstrates how to build a ML Powered Temperature and Humidity Prediction using the Bolt IoT WiFi module and related components. The Bolt IoT platform provides cloud connectivity and GPIO control for building IoT solutions.

Things Used In This Project

Hardware Components

ComponentQuantity
Bolt WiFi Module1
Jumper WiresAs Required
Breadboard1

Software and Online Services

Getting Started

Step 1

Set up your Bolt WiFi module and connect it to the Bolt Cloud platform.

Step 2

Assemble the hardware components as described in the project documentation.

Step 3

Configure the software and deploy the code to your devices.

Conclusion

This project showcases the versatility of the Bolt IoT platform for building practical IoT applications.

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