Analysis of financial invisibility

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  Graph

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  Heatmap

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  Graph

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  Cluster analysis based on account ages in countries

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  Heatmap

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  Heatmap

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  Heatmap

Inspiration: 1.4 billion people are financially invisible; we wanted to know some correlations for this.

What it does: analyzes data from world bank datasets based on country and who has financial access based on account age

How we built it: used python, flask, vuejs, syncfusion, and worldbank API

Challenges we ran into: Time constraint we had was very difficult and we had to manage our time because of that.

Accomplishments that we're proud of: proud of our heat map, frontend, and other visualizations.

What we learned: We learned project management, how to use the world bank api, time management, and team work.

What's next for Analysis of financial invisibility: Investigating the completeness of datasets and analyzing a larger variety of data sets to be better able to generalize more of the general population.

Built With

• flask
• full-stack-application
• generative-ai
• python
• syncfusion
• vue-js
• worldbank-api