With the rise of cryptocurrency transactions, protecting users from fraudulent activities has become increasingly critical. CryptoSecure helps achieve this by assigning each wallet a safety score, a metric that reflects the likelihood of a wallet being involved in suspicious behavior. This score enables users and platforms to assess the risk associated with specific wallets before engaging in transactions.

CryptoSecure uses a combination of Supervised and Unsupervised Machine Learning approaches:

• Supervised ML: Using XGBoost, a highly accurate gradient boosting algorithm, to detect anomalies and high-risk patterns associated with scams.
• Unsupervised ML: Using Auto-Encoders to identify suspicious wallet behaviors that deviate from normal transaction patterns.

The model processes wallet and transaction data to calculate a safety score for each wallet, representing the probability that the wallet is connected to scams or phishing schemes.

• XGBoost: Supervised learning algorithm for precise anomaly detection.
• Auto-Encoders: Unsupervised model to capture irregular patterns in transactions.

• MongoDB: A NoSQL database to store wallet and transaction information.
• FastAPI: A high-performance API framework for handling backend operations.
• Redis: Caching layer to boost the performance of frequently accessed data.

• ReactJS: Interactive UI for displaying wallet safety scores and transaction histories.
• TailwindCSS, ShadCN, Aceternity UI: CSS frameworks and libraries for a modern, responsive, and user-friendly design.

1. Safety Score Calculation: CryptoSecure generates a safety score for each wallet, indicating the probability of it being involved in scams or phishing.
2. Anomaly Detection: The system flags wallets that exhibit unusual transaction patterns based on supervised and unsupervised machine learning models.
3. Real-Time API: FastAPI provides endpoints for querying wallet safety scores and transaction details, with Redis caching to optimize response times.
4. User-Friendly Interface: Intuitive and accessible UI for users to check the safety scores of wallets before making transactions.

• Python 3.8+
• Node.js and npm

1. Clone repository:

   git clone https://github.com/harsh3dev/htfHackermen
   cd CryptoSecure

2. Setting up Backend
   • Dependency installation

   pip install -r backend/requirements.txt

   • Start Server

   uvicorn backend.main:app --reload

3. Setting up Frontend
   • Navigation

     cd frontend

   • Install dependency

     npm install

   • Start server

     npm run dev