As you remember from the first module, during the manufacturing of the tablets at Mr. Nigel’s company, the temperature of the tablets has to be maintained between -40 and -30 degrees Celsius. Just a few months ago, the government declared the following rules for manufacturing these tablets.
- While the manufacturer is allowed to maintain the temperature of the tablets between, -40 and -30 degrees Celsius, the temperature of the tablets should never remain between -33 and -30 degrees for longer than 20 minutes at a time.
- Also, the manufacturer should maintain a log of when the cooling chamber for the production of the tablets is opened.
- These rules should be implemented within a month of their declaration. Failing to comply would lead to cancellation of the pharmaceutical production permit.
While the government declared these rules to ensure that the medicine produced at all pharmaceutical companies, was good enough to be used by the general public, these rules put Mr. Nigel’s company in a bit of a pickle.
Implementing such stringent measurements was no easy task.
While the other employees in the company were panicking over the possibility of losing their jobs, Mr. Nigel was perfectly calm.
Mr. Nigel had been using the Bolt IoT platform for more than a year now and had also been researching about machine learning. With the help of his knowledge of the Bolt IoT platform and machine learning, he was able to quickly come up with a method to implement the new stringent rules set by the government. He implemented the solution within 2 days and ensured that his company did not lose its pharmaceutical production permit.
Amazing is it not?
Well, you will be happy to know that you have learned everything Mr. Nigel needed to know to implement this system, and you will be building this system as a part of the Capstone project.