Abstract:
In current scenario the technology world is taking a shift into smarter gadgets that have a logical sense to behave and make decisions on basis of some learned behaviors. The gadget to act in a smart logical way requires some pre-knowledge (data set) to make logical decision. The logical decisions are further made based on some logical algorithms.
The project (S^3B) aims to make the electrical switch boards smart in a sense that they can detect the device connected to it. The smart device(S^3B) will be trained on some pre-recorded data sets using a Python IDE running machine learning algorithms on it. Real time detection will be done using Raspberry Pi. Raspberry Pi will be running an integrated version of Python IDE. The device connected to PI will be connected via wireless connection for remote control and intimation about the electrical appliances connected to the smart device. User will be using an interfaced mobile app for the purpose.
