ml deployment

Credit Card Fraud Detection (KNN + Streamlit)Developed a machine learning model using the Credit Card Fraud Detection dataset to classify transactions as Fraud or Not Fraud.

Data Preprocessing: Selected 29 features, normalized data for better KNN performance.

Model: Trained and tuned a KNN classifier, saved with pickle.

Deployment: Built an interactive Streamlit app where users input transaction values (V1–V28 + Amount) and receive predictions.

UI: Added custom CSS with gradient and glassmorphism design for a modern interface