Barath Suresh's repositories
credit_card_fraud_detection
Addressing challenges like imbalanced data and evolving fraud techniques. Employed various ML algorithms (Decision Tree, Random Forest, etc.) & DL techniques (CNN) for improved accuracy. Demonstrated CNN's effectiveness with 20 layers achieving 99.956% accuracy. Dataset: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
HeliumMessenger
An E2E Android messaging app made with Flutter and Firebase.
Ecstasy-Hub
Where Music meets Drug
Language:Dart000