Mini Weather Forecast (light-weight-clothes-matching)

Create a software to get weather of cities around the world and can give clothes suggestions

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Inspiration

Weather change too frequently. It takes too much time to decide what to wear and how to wear correctly each day.

What it does

Get current weather and future 7-days weather. Give clothes suggestions base on data.

How we built it

Use weather API to get data and use PyQt5 to build user interface(UI).

Challenges we ran into

How to get data and how to display data.

Accomplishments that we're proud of

Our software “Mini Weather Forcast” can get the weather(including the temperature, wind scale) of different cities all over the world, and can also give you the choice of what clothes you can choose to wear based on the current weather outside. Analyzing the data, and pick lastest 3 days as specific output(if rain turns red), and a bar graph showing the weather of lastest 7 days.

Advantage

  1. Light-weight-clothes-matching
  2. User-friendly: easy to operate
  3. Global Location and good accuracy

What we learned

Basic skills in data mining and data analysis.

  1. Crawling data based on the “Hefeng Weather” API;

  2. Analyzing the weather parameters, and build the bar graph. Build our own Clothes Library matching with the weather.

What's next for Mini Weather Forecast (light-weight-clothes-matching)

  1. Making it to mobile application (app) or web-based application
  2. More features can be added, for example: enlarge our clothes library, activity recommendation.etc.

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