https://github.com/harsh3dev/htfhackermen
https://github.com/harsh3dev/htfhackermen
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/harsh3dev/htfhackermen
- Owner: harsh3dev
- Created: 2024-11-08T18:39:03.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-28T17:09:17.000Z (over 1 year ago)
- Last Synced: 2024-11-28T18:23:24.458Z (over 1 year ago)
- Language: Jupyter Notebook
- Homepage: https://htf-hackermen.vercel.app
- Size: 3.09 MB
- Stars: 2
- Watchers: 1
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.md
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README
# 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
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.
---
## 🛠️ Installation & Setup
### Prerequisites
- **Python 3.8+**
- **Node.js** and **npm**
### Installation Steps
1. **Clone repository**:
```bash
git clone https://github.com/harsh3dev/htfHackermen
cd CryptoSecure
```
2. **Setting up Backend**
- **Dependency installation**
```bash
pip install -r backend/requirements.txt
```
- **Start Server**
```bash
uvicorn backend.main:app --reload
```
3. **Setting up Frontend**
- **Navigation**
```bash
cd frontend
```
- **Install dependency**
```bash
npm install
```
- **Start server**
```bash
npm run dev
```