metadata

title: XAIFraudSense
emoji: 🌍
colorFrom: green
colorTo: gray
sdk: gradio
sdk_version: 4.13.0
app_file: app.py
pinned: false

FraudSenseXAI

Overview

FraudSenseXAI is an innovative Machine Learning (ML) and Explainable Artificial Intelligence (XAI) application, developed as a part of an MSc final project by Othniel Obasi. This application is dedicated to detecting and analyzing fraudulent activities, with a strong emphasis on the interpretability and transparency of its AI models.

Key Features

Robust Fraud Detection: Utilizes advanced ML techniques to identify fraudulent transactions accurately.
Explainable AI Elements: Employs XAI approaches to provide clear insights into the decision-making processes of the AI.
Interactive Web Interface: Features a user-friendly web application for easy access and interpretation of results.
Dynamic Visualizations: Integrates Plotly for interactive and insightful data visualizations.
Applicability Across Sectors: Suitable for use in finance, e-commerce, digital banking, and other sectors.

About the Author

This project is an MSc Dissertation on the XAI Application of Fraud Detection, authored by Othniel Obasi. It represents a significant contribution to the field of AI, offering practical solutions and valuable insights for the detection of fraudulent activities using AI.

Check out the configuration reference at https://huggingface.co./docs/hub/spaces-config-reference