hackquest logo
  • 学习
  • 课程探索
  • 实战
  • 探索黑客松
  • 往期项目
  • 社区
  • 论坛
  • 全球活动
  • 我的社区
  • 共学营
  • 组织中心
  • 更多
    • 词汇表
    • 博客
    • 水龙头
    • 工作机会
    • 媒体工具包
    • 创始人
hackquest logo

Detection

🕵️‍♂️ Online Payment Fraud Detection Dashboard This project is a machine learning-powered web application that detects potentially fraudulent online payment transactions.

视频

技术栈

Python
Pandas
Sckit-learn
Joblib
Plotly Express
Streamlit

描述

"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."

本次黑客松进展

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).
队长
DDipa Mondal
项目链接