# DETECTOR_and_PREDICTOR_SYSTEMS



CODE:

PREDICTOR & DETECTOR SYSTEMS CODED IN PYTHON 3.7 The detector system is to assess the hazard places of a contagious disease in a city by using a supervised learning-based approach on the individuals' tracking trajectories. It is enabled to apply on a warning system that installs on mobile (or a specific warning device) and notifies the hazard of a place. The predictor system predicts the possibility of getting the disease without testing. It is developed based on an HMM-based approach.

Jan, 2021

TO RUN:

Select the correct version of pyhton in your system (we are using python3): python3 main.py data



DATA:

There is a dataset that combined real-world data and randomly generated ones. It includes movements' trajectories of the people in the city, such a way that each person is at home from 00:00 until 07:00, then he/she goes out for a while (that is random between 7 to 14 hours) and goes back home. Also, each time slot is 10 minutes.
10min.txt: 183 actual persons+ 4817 randomly generated movements' trajectories