Inspiration
We were inspired by our love in nature and the loss of biodiversity in the recent years.
What it does
We have a platform for analyzing and obtain insighst from raw data. The user (investigator) can use the data base already incluided or upload their own data which will be cleaned, transformed and merged with the base data. From this data we have three main funcionalities.
How we built it
We used Vue for the web front end and python for ML models and API.
Challenges we ran into
- Dynamic plots
- ML models which predict the selected column
- A Model graph that with also update with data and give extra insights about relations ## Accomplishments that we're proud of We made graphs for relationships and IA models for predition. ## What's next for TraffGraph Enhancing current workflows and design. We have the main processing workflow set up in the backend and have to show it in the frontend.
Built With
- fastapi
- h2o
- networkx
- pandas
- plotly
- python
- typescript
- vue
- vuex
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