CryptoSecure

🚀 Project Overview

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.

⚙️ Working Methodology

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.

🧰 Tech Stack

Machine Learning

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

Backend

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.

Frontend

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.

🌟 Key Features

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

🛠️ Installation & Setup

Prerequisites

Python 3.8+
Node.js and npm

Installation Steps

Clone repository:

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

Setting up Backend

Dependency installation

pip install -r backend/requirements.txt

Start Server

uvicorn backend.main:app --reload

Setting up Frontend
- Navigation
```
cd frontend
```
- Install dependency
```
npm install
```
- Start server
```
npm run dev
```

harsh3dev / htfHackermen