CCFTect

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  Demo

Inspiration

The project aims to accurately identify fraudulent transactions in financial data using machine learning algorithms to build a robust fraud detection system. Fraudulent transactions is a major concern for financial institutions, leading to significant financial losses and reputational damage. Therefore, it is essential to have a robust fraud detection system in place to identify and prevent such transactions.

Challenges we ran into

I have to tackle several problems like:

1. Dealing with unbalanced dataset.
2. Got some issues while deploying
3. Few minor bugs.

Solution

Solved it by going through the document and web based resources.

Built With

• numpy
• pandas
• python
• scikit-learn
• streamlit