(1/3) Google Maps: We will use Google Maps to find locations of businesses we think require licenses so that we can estimate the cost to benefit ratio for different businesses and give better recommendations on how to proceed. Google maps data will also be used to price travel plans.
Postman: Postman is a great tool for testing endpoints of our web app. This will also help us create a CI for our endpoints.
Python: We are using python to develop our web app. We chose to use this since we will be integrating a lot of machine learning and statistical models into our app and python has great libraries to support this.
Django: Since we are using python due to it’s incredible support for machine learning and data science, we have also decided to use it to develop the web app to make the integration of the front end and back end easier. In addition this means no microservices allowing for more maintainable, testable code.
Scrapy: A Python web based framework which will help gather data from various endpoints. Low overhead, combined with direct integration to backend makes it an ideal choice as we will not have to microservice scraping.