Sustainability scores for credit transactions

What it does

Our project estimates the sustainability scores for credit transactions of an individual.

How we built it

Gathered the dataset from Kaggle and did preprocessing and ran a simple linear regression model to estimate the scores.

Challenges we ran into

Finding an appropriate dataset was challenging. Other challenges included preprocessing, giving a sentiment score for each category spent, and creating a dashboard using Django

Accomplishments that we're proud of

We were able to run our model on a test set and get a mean square error of 0.0012.

What we learned

We learned to use different numpy and pandas functions. We also learned how to build a simple dashboard using Django

What's next for Sustainability scores for credit transactions

We wish to build a recommendation system that will recommend users to spend on categories that lead to sustainability in future.

Built With

• django
• python
• scikit-learn