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Application predicting class attendance based on weather » Historie » Revize 5

« Předchozí | Revize 5/20 (rozdíl) | Další »
Zuzana Káčereková, 2021-03-19 13:54


Application predicting class attendance based on weather

Data

The application uses datasets containing historical information about the weather on campus and attendance based on JIS card verifications and historical timetable information

The timetable provides the baseline attendance, JIS card data can be used to find out the real attendance (and therefore fluctuation in attendance). The authentication data could be used to find out how many people have logged in during classes.

Weather

Weather data for model training contains the following information: date, temperature, wind, rain, light in k lux

User can input weather values manually, by selecting options from a form
  • values: temperature, wind, rain, sunny/overcast/partly cloudy
    There also is an option for data to be automatically downloaded from a server upon request from the user.
Current options for data sources

Notes:
Values sunny/overcast/partly cloudy will be translated into lux values
The temperature will be evaluated with certain tolerance (probably determined experimentally)

Datasets

Datasets are updated every once in a while with new data. How often update?
-> has to trigger re-training the prediction model, probably do not want to update too often.
Detect when there's new data, check every day? every x days?

New OpenData is added monthly. How complex will be the training? Can it be done on the target device? Will there be a server from which a new model could be downloaded?

Design

The output of the Algorithm

We need to determine what should be the actual prediction:
  • A concrete number of students in a class,
  • information about relative occupancy rate.

Motivation

TBD

Implementation

The application is a mobile app, possibly WebGL app
It is developed in unity which provides more possibilities for export with modifications for given platforms

- prediction model (pluses and minuses ?)
- neuron network
- bayes

Aktualizováno uživatelem Zuzana Káčereková před téměř 4 roky(ů) · 5 revizí