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:signal_strength: Visualize how many people are currently in given objects of general public utility (Angular, TypeScript, SCSS, HTML, Python, Flask, MongoDB)

Python 16.51% JavaScript 2.64% TypeScript 59.00% HTML 18.40% SCSS 3.37% Shell 0.08%

crowd-meter's Introduction

📶 Crowd Meter

Description

Application visualize how many people are currently in given objects of general public utility. Project is composed of 4 parts:

Front-end	API	Data-generator	Flow-of-people-simulator
Front-end for application	Provide endpoints for front-end	Fetch amenities data (using overpass-api), parse it and adopt to fit given model requirements. After that save it in database collections	Simulate crowd. Every x seconds (default=2) change amount of people for each of the saved public utility
Angular, TypeScript, HTML, SCSS	Python, Flask	Python, PyMongo	Python, PyMongo

Prerequisites

Front-end

First of all, make sure that you have installed NodeJs - if not, you can download it from here: https://nodejs.org/en/download/

Then install required prerequisites on your development machine:

npm install --save

I case of running application on dev server make sure that you have installed AngularCLI:

npm install -g @angular/cli

Running application

Front-end

npm start or ng serve

This will start a dev server. After that navigate to page http://localhost:4200/
Back-end In order to run each of the back-end services, you can use wrapper scirpt ./run.sh from main folder for each of the projecet or run file main.py / app.py manually