🌱 A four week project at Chalmers University of Technology, in collaboration with Ericsson
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Updated
Dec 19, 2020 - Python
🌱 A four week project at Chalmers University of Technology, in collaboration with Ericsson
A tool that recommends alternative recipes which can reduce your carbon footprint.
Using complex data to help uncover the leading causes of heat temperatures and how to use Machine Learning data to help identify if various CO2 pollutants contribute to the rise in temperatures in the United States!
Machine Learning Regression Problem: Predicting the CO2 Emission (g/km) given four wheel vehicle dataset
Measures the CO2 level in the room and gives a warning when to ventilate. All values are also distributed via MQTT.
Server side application to receive and storage data of Eco2ai library
Prediction of food products' ecological footprint with Gradient Boosting Regressor, creating a Metabase dashboard and the web application (foodly.cc)
predict the amount of Carbon Dioxide emitted by your Vehicles using liner Regression model to build a machine learning model, and deployed it using Flask and Heroku.
This is a Time Series Forecasting project where aim is to predict the CO2 emission for next 10 years given the data for the period 1800-2014.
Emissions predictions and country clustering based on emissions.FAOSTAT datasets.
Auxiliary material to reproduce to the results of the "How COVID-19 affected GHG emissions of ferries in Europe" manuscript
Net-zero pathways and their predictions for CO2 and global temperatures
Based on Kaggle Playground Prediction Competition
Streamlit app that visualizes data on CO2 emissions and GDP
Looking at the effect of vehicle class, engine size, and cylinder on CO2 emissions and modelling with Linear Regression
Carbon footprint calculator for large scale digital investments (country or city scale).
web extension for chrome/firefox to monitor how much co2 was generated during your navigation
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