Projects from CS496 Mobile and Cloud Development class
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Updated
Feb 3, 2017 - HTML
Projects from CS496 Mobile and Cloud Development class
PyOWM integration for Django
use PYOWM and Pimoroni Blinkt to show current wind speed
use data from open weather map to point a servo to the current conditions
Here is my ready telegram bot
ToWear is an application that suggests outfits to users from their closets based on the weather. We use linear regression to personalize the results to each user. Check out the current state of the app here:
This is a desktop assistant which can do many things including search, send email etc.
Telegram бот, выдающий прогноз погоды в введённом городе
WindowSense tells you when to open your windows by integrating with your Nest thermostat and getting local weather forecasts. Runs on Raspberry Pi + Sense HAT.
Created a simple web-based application for weather forecasting and deployed on heroku platform. Added features like zip-code based query, fetching data for temperature in both units (Celsius & Fahrenheit), weather alerts, sunrise & sunset time. Go through README.md for more understanding.
A python based weather GUI. In this project I have used pyowm, matplotlib module and a weather api to fetch the recent weather data.
Weather application GUI using python
Async OpenWeatherMap lib
Chatbot to address weather related queries in Gujarati language.
Bot which shows you temperature(max & min),speed of wind,humidity and time of sunset & sunrise in interesting for you city.
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