Inspiration
For years, fraud has been a major issue in sectors like banking, medical, insurance, and many others. Due to the increase in online transactions through different payment options, such as credit/debit cards, Phone Pe, G pay, Paytm, etc., fraudulent activities have also increased.
fraudsters or criminals have become very skilled in finding escapes so that they can loot more. Since no system is perfect and there is always a loophole them, it has become a challenging task to make a secure system for authentication and preventing customers from fraud. So, Fraud detection algorithms are very useful for preventing frauds.
How we built it
python . NumPy ,machine learning ,data analysis in fraud detection.
Challenges we ran into
challenges based on collection of data.
Accomplishments that we're proud of
find out the fraud detection activities.
What we learned
the fraud and criminal activities has to be stopped.
What's next for Transaction fraud detection
to see the surroundings without criminal and fraud activities.
Built With
- dataanalysis
- machine-learning
- numpy
- python
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