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Indoor Localization -- largely inspired by the whereami python package

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wheredwami

THIS IS NOT UP TO DATE - PLEASE DO NOT TRY TO RUN THIS :) We made many changes and were pressed for time, so the repo was the last of our concerns in the end. Shouts out to COVID-19.

A project largely inspired from the whereami python package

Setup

Install Python dependencies

pip install -r requirements.txt

Install node dependencies (in web-application --> client directory)

npm install

Running Server & Client

In web-application --> server directory, run the following to start the flask server:

python donut-flask.py

In web-application --> client directory, run the following to start the node dev server:

npm run serve

What is it?

Indoor localization of Raspberry Pis using publicly available Wi-Fi signals and machine learning. University of Iowa ECE Senior Design Project. Inspiration / Code taken from whereami. Faculty sponsor Professor Raghuraman Mudumbai.

Who are we?

WE ARE --> D.W.A.M.

D.W.A.M. is a senior design super group within the University of Iowa Department of Electrical and Computer 
Engineering. The team is formed of Daniel Kelly, Sy Butler and Marc Shepherd - industry veterans, paragons 
of scholarship and citizens of the C.N. In addition to our technical expertise, D.W.A.M. brings a unique 
perspective to every project they touch due to diverse backgrounds including, but not limited to, fun running, 
chordophonic dabbling, quad-wheeled vehicular ball sports, reading books assigned in high school english class.

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Indoor Localization -- largely inspired by the whereami python package

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