final-project

National Action Council for Minorities in Engineering(NACME) Google Applied Machine Learning Intensive (AMLI) at the PARTICIPATING_UNIVERSITY

Developed by:

• Dominik Allison - Morgan State University
• Nigel Campbell-Christie - Morgan State University
• Joshua Hamlett - Morgan State University
• Cameron Morehead - Morgan State University

Description

This project is to he imporve the geolocation data to the deimeter by connecting the geospatial information of human behavior with mobile internet, also we want to advance research in smartphone GNSS positioning accuracy and help people better navigate the world around them and improve mobile phone location accuracy to the decimeter.

Usage instructions

1. Fork this repo
2. Change directories into your project
3. On the command line, type pip3 install requirements.txt
4. Download the google smartphone decimeter challenge folder from kaggle
5. Unzip that folder
6. Go into the unzipped folder
7. Create a new folder called "sample3" in the unzipped google smartphone decimeter challenge folder, this will hold the samples you choose
8. Go into the train folder in the unzipped folder
9. Select the folders which you want to include in your sample. Each folder has different phone models and data in it. IF you want a sample that includes every phone you have to see which phones are in them. There are seven phones in total.
10. Once you've chosen your sample folders, move the selected data into the folder you created to hold your samples, which should be located in the google smartphone decimeter challenge.
11. Zip the folder containing your chosen samples
12. Upload your zipped sample folder to the colab notebook