Fast Fourier Solutions

Problem: Create alogirthm for sampling sensor data, maximising "sensed importance" while minimising sample count. Create a webpage to show data to customers.

Solution: Using Fourier transform and signal analysis, we created a relatively simple and scalable algorithm for sample time extrapolation.

Impact: Provides users with relevant data leading to energy and money savings while enabling them to use renewable sources and get the most out of every joule produced.

Feasibility: The whole project is easilly scalable with only a little data required from the sensors. Unlike machine learning it requires no sofisticated infrastructure and can be implemented for low cost.

What you built: Webpage and sampling algorithm https://inittowinit.azurewebsites.net https://github.com/ShadowTrolll/GH_InIt2WinIt https://github.com/ShadowTrolll/GH_AzurePage

What you had before: Nothing, we are students

What comes next: Complete prediction algorithm and integrate real time data with webapage

Video: https://youtu.be/gKPACAZ3-DM