Carbon Capture

• 

  Data Visualisation Interface

Inspiration

British households create over 26m tonnes of waste each year, the weight of around 260 large cruise while the recycling rate is only 45%.

What it does

Build a platform that allows people to keep track of their recycling while competing with friends and family. Incentivises positive recycling behavior and minimal carbon footprints through social media sharing.

How I built it

Python Flask, Azure Cognitive Services API, HTML/CSS, Plotly (charting), Pandas

Challenges I ran into

Integration between the data science work we did and full-stack application

Accomplishments that I'm proud of

Learning something new in such a short amount of time

What I learned

How to integrate different technologies together through just reading documentation

What's next for Carbon Capture

Expand the collection of our waste classification as well as integrate into pollution and energy markets. Additional features e.g. making a donation to the environmental charity of choice, setting daily/weekly saving goals.

Partner with research groups in environmental data science and machine learning.

Built With

• azure
• flask
• pandas
• plotly
• python