Smart Ombrometer Built using Bolt IoT
Things used in this Project
Hardware Components
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Software, Apps, and Online Services
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Hardware setup
Step 1] Do the connections of the circuit as shown below
Software Programming
Step 1] Create a product on the Bolt Cloud (https://cloud.boltiot.com/home)
Step 2] Select the code option, type the code and save it with javascript (.js) extension
Step 3] Link the product with your Bolt device
Step 4] You can type your python code either in Digital Ocean (https://cloud.digitalocean.com/login) or in the Oracle VM Virtual Box (https://www.virtualbox.org/wiki/Downloads) ubuntu server (http://releases.ubuntu.com/16.04/ubuntu-16.04.6-server-i386.iso)
Step 5] Download the code from github by clicking this link
Step 6] Update the configuraiton_code.py file, update the Twillio SMS configurations and also update the API that you can get from the Bolt Cloud here, and the id of the device that you want to use to monitor rain.
Step 7] Connect the Bolt module to the power supply and run the python code
Conclusion
This product plays a vital role in the field of Meteorology. Meteorological departments are in constant research for better and innovative concepts for their accurate outcome and predictions. This concept can be proposed for its accuracy, remoteness, flexibility in working areas, precision, and cost-effectiveness.
Want to build more such IoT and ML projects? Want to learn IoT and ML from basics?
Check out the Bolt IoT and ML training. This online video training is excellent for those who want to start with IoT and ML because it teaches you to build projects from the basics. Click on the button below to know more about the training.
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