👣 Calculate your carbon footprint easily using a command line interface (10+ metrics, .PDF report).
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Updated
Mar 29, 2024 - HTML
👣 Calculate your carbon footprint easily using a command line interface (10+ metrics, .PDF report).
🌏Forcast CO2 emissions using a Machine Learning models based on vehicle specifications like engine size, cylinders, and fuel consumption.
This library opens up the idea of the CO2-countdown to creative communities of coders, designers and artists using the p5*js project.
CO2 emission regression analysis on the Canada dataset using various regression techniques.
World CO2 Emission Dashboard
CO2 Interactive dashboard inspired by Thu Vu's video on her youtube channel. Made in python with Panel and Hvplot
The web-based GUI for demonstration of data mashups in the project Experience with data mashups and report/demonstrate at Tampere University
Nearly two thirds of UK homes fail to meet long-term energy efficiency targets
Library and API to calculate CO2 emissions for personal mobility.
A Python programme that analyses CO2 emission data from 1997 to 2010. This programme prints data, provides brief of a given year, displays and compares Year vs. Emission graphs for chosen countries, and generates a separate data file for chosen countries. It was a self-paced project that Guru 99 provided.
Further work on the paper "Reducing Global Carbon Footprint based on MARL" by "Valentin Kahn".
Java desktop application to minimize CO2 emissions, aiding in environmental sustainability by providing tools for carbon footprint measurement and reduction strategies.
Doconomy API Ruby Client. Åland Index is an index for CO2 emission calculations for payments and financial transactions.
Carbon footprint calculator for large scale digital investments (country or city scale).
HACK AND HARVEST Hackathon 2021
If you liked my analysis, pls upvote my notebook!
World Co2 Emissions Exploratory Data Analysis , Visualization & Story Telling Using Python
Repository for the project for Practitioner's Challenge from the Department of Statistics at LSE and Capgemini. Our group specifically researched drivers and risk factors of EV market, in order to create a data-driven CO2 emission model and suggest decarbonisation policies to achieve CO2 emissions goals.
CO2 optimized development platform for business applications
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