Detection

Tech Stack

Python

Pandas

Sckit-learn

Joblib

Plotly Express

Streamlit

Description

"Online fraud is a growing issue in digital payments. Our project aims to help detect such frauds early using a predictive model trained on real transaction data."

This app is built using Python, Streamlit, Pandas, Scikit-learn, and Plotly."

Progress During Hackathon

Progress so far: ✅ Trained a Decision Tree model on a labeled transaction dataset. ✅ Developed a Streamlit dashboard for user input and fraud prediction. ✅ Integrated interactive visualizations (using Plotly) to show fraud patterns. ✅ Implemented model performance metrics (classification report & confusion matrix).

Detection

Videos

Tech Stack

Description

Progress During Hackathon