World Weather Analysis

Weather Analysis and building of a travel app for customers of 600+ cities around the world.

Project Overview

In this project, a travel app for customers is built using weather data of 600+ cities along with the data to recommend ideal hotels based on clients’ weather preferences.

Tools

Python, citipy, Pandas, Matplotlib, SciPy, Google Maps API, Google Places API, OpenWeatherMap API, Jupyter Notebook

Summary

• The Travel App allows customers to search for locations they want to travel based on their temperature preferences.
• Once the customers have filtered the database (DataFrame) based on their temperature preferences, a heatmap will be showed to them for the maximum temperature for the filtered cities around the world.
• A notation is in the search criteria to indicate if it is raining or snowing for customers who are making travel decisions in real-time.
• A weather description to the pop-up markers will be displayed for customers so that they know what the weather is as they are traveling.
• A map that shows the directions between multiple cities for customers’ travel itinerary will be displayed.
• A map that shows the directions between multiple cities with the details of the nearest hotel for customers’ travel itinerary will be also be displayed if selected by the customer.