Team Name:
Carbonara
Team Members:
Carbonara
MyCarbon is a mobile app designed to empower users to actively participate in reducing their carbon footprint by making informed choices about their transportation habits.
At the heart of MyCarbon's sustainability approach is the Carbonara scheme, a unique rewards program that offers incentives to users who actively reduce their carbon emissions. This innovative system not only benefits the environment but also engages users in a meaningful way.
MyCarbon's financial viability is grounded in its efficient Carbonara scheme and the app's low deployment and upkeep costs. By utilizing innovative technology, the project aims to ensure its sustainability while delivering tangible value to users and the environment.
With MyCarbon, individuals have the power to make a positive impact on the planet. By choosing greener transportation options, users can contribute to a cleaner and more sustainable future.
We used three different datasets: Monitoring of CO2 Emissions from Passenger Cars, Amount of CO2 emissions by a vehicle depending on their various features, and Melbourne Live Traffic, to power MyCarbon's data driven insights on carbon emission offsets and reward systems. A detailed exploration on how these datasets are used are discussed in the report.
Description of Use Extrapolating from Government data, we utilised this data to measure the different CO2 emissions of different cars with varying brands. This dataset has two main functions. First is to inform users of their carbon emission offset in g/km each time they choose to ride public transport, instead of their private vehicle. Second is to calculate the rating system by fuel efficiency in l/km - this is then used as one factor to classify how well the car performs in the star rating (explored in the report).
Description of Use This data serves two main purposes: first is to determine how amount of CO2 emissions vary based on a car's features such as model, transmission, fuel type, and fuel consumption. Second is to calculate the rating system by carbon emissions in g/km - this is then used as one factor to classify how well the car performs in the star rating (explored in the report). This makes up one part of the formula to calculate emissions saved when using Public Transport instead of private transport.
Description of Use With this data, we are able to estimate the buffer margin time by multiplying live speed with time taken, producing distance. This buffer distance is then used to calculate the emission produced with private transport. This makes up one part of the formula to calculate emissions saved when using Public Transport instead of private transport.
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