Cula Carbon Verifier

Inspiration

• using realworld data
• building a verification process

What it does

We want to provide a way for the carbon capture providers to simplify the verification process by replacing the cula api by an detailed graphical interface. This makes managing data with cula more attractive.

How we built it

The project is split into two parts:

• backend using python, fastapi. It finds anomalies in the sink data, scores their severity and provides them to the frontend

• frontend using react. to display the data

  • findngs in piechart that contribute to the final score
  • graph view that map these problems to their position in the production chain
  • as an overview of the results (this is does not have to be part of the actual product) we provide an overview of the problems found in all sinks and statistcs

Challenges we ran into

• understanding the different layers and stakeholders of the carbon removal industry, to identify where our product can have an impact
• defining checks properly
• defining a score to actually rate, how well the sink is documented and proven

Accomplishments that we're proud of

• identified a variety of different poblems and inconsistencies in the dataset
• visualization of the data, including charts, graphs and statistics

What we learned

• understanding the biochar and carbon certificate industry better
• coding with ai
• there was good knowledge transfer (related to programming) within the group

What's next for Cula Carbon Verifier

• hardening checks with experts from cula
• integration into cula
• getting feedback from customers
• implementing more checks
• creating pdf summary for export

Built With

• fastapi
• python
• react
• typescript
• vite