Credify

Features

Fraud Detection: Utilizes an XGBoost model to predict fraudulent Ethereum transactions.
Transaction Retrieval: Fetches transaction data for any Ethereum address using the Etherscan API.
Explainable AI: Provides insights and explanations for each prediction to ensure transparency.
User Authentication: Secure login and registration system for users.
Comprehensive Dashboard: Offers an overview of companies connected with Northern Trust, including trust scores, past crypto transactions, company information, and privacy notices.

XGB_fraud.pickle: The pre-trained XGBoost model used for predicting fraudulent Ethereum transactions.
app.py: Flask backend application that hosts the /get_transactions endpoint. It integrates with Etherscan to retrieve transaction data and uses the XGBoost model for predictions, along with explainable AI features.
fraud-detection-ethereum-transactions.ipynb: Jupyter Notebook containing the code and processes used to train the XGBoost model for fraud detection.
src/: Contains the React frontend application, including:
- Authentication Components: Login and registration pages.
- Dashboard: Displays company overviews (e.g., trust scores), past crypto transactions, company information, and privacy notices for companies connected with Northern Trust.

Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
public		public
src		src
.gitignore		.gitignore
README.md		README.md
XGB_FRAUD.pickle		XGB_FRAUD.pickle
app.py		app.py
fraud-detection-ethereum-transactions.ipynb		fraud-detection-ethereum-transactions.ipynb
package-lock.json		package-lock.json
package.json		package.json