CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING AND DEPLOYMENT USING FLASK

Credit card fraud detection is a method which is design in such a way where fraudulent transactions can be identified with different algorithms present in the system. As, due to the presence of such a software, it would be easy for all to know the transactions occur that are legit or fraudulent in that particular credit card. The different algorithms which are being used are Random Forest Algorithm, Support Vector Machine and Isolation Forest Algorithm. The data is stored in the dataset for a temporary time till the software runs, once the software restarts the data will be lost. The future scope for such a project could be it where the data can be stored permanently in the dataset for future references of transactions occurring which would lead to legit or fraud transactions in the system.