- Project Overview
- Key Objectives
- Core Components
- System Architecture
- Workflow
- Impact & Benefits
- Installation & Setup
- Usage
- Contributing
- Future Enhancements
- Challenges
- License
VeriDuce is a cutting-edge blockchain- and machine learning-powered marketplace designed to revolutionize carbon credit trading. The platform addresses critical inefficiencies, fraud, and lack of transparency in existing carbon credit markets.
By leveraging the power of Machine Learning for verification and prediction alongside Blockchain for transparency and security, VeriDuce creates a trustworthy, efficient, and impactful carbon credit trading ecosystem that:
- ✅ Ensures the authenticity of carbon emission reduction claims
- 🔒 Facilitates transparent and secure transactions
- 🌱 Promotes global sustainability initiatives
- 🛡️ Prevents double-spending and fraud through immutable ledger technology
- 🌐 Democratizes access to carbon credit markets for companies and individuals
- Transparency 📊: Utilize blockchain to create an immutable ledger for all carbon credit transactions, ensuring trust and preventing double-spending.
- Verification 🔍: Employ advanced ML models to validate carbon credit claims based on environmental data, ensuring credits represent actual carbon emission reductions.
- Accessibility 🖥️: Provide a user-friendly web platform enabling companies, governments, and individuals to participate in carbon credit markets.
- Scalability ⚡: Implement an architecture that integrates with IoT devices and environmental sensors for global scalability.
Our platform incorporates three specialized ML models:
-
Carbon Emission Predictor 📉 (Repository)
- Predicts potential carbon emissions reductions based on user-submitted data
- Utilizes regression algorithms including Random Forest, Gradient Boosting, and LSTM networks
- Processes features such as renewable energy usage, industrial output, and fuel type
-
Carbon Credit Validator ✅ (Repository)
- Verifies the authenticity of carbon credit claims
- Analyzes geospatial data and environmental sensor inputs
- Employs CNNs for satellite imagery analysis and anomaly detection
-
Fraud Detector 🕵️ (Repository)
- Identifies suspicious patterns in carbon credit claims and transactions
- Flags potential double-counting or inflated emission reduction claims
- Uses anomaly detection algorithms to maintain market integrity
ML Implementation:
- 📊 Data collection from public datasets (EPA, IPCC), IoT devices, and environmental sensors
- 🧠 Model development using Python (Scikit-learn, TensorFlow, PyTorch)
- 🗺️ Geospatial data processing with specialized libraries (Google Earth Engine, rasterio)
- 📈 Visualization capabilities using Matplotlib and Seaborn
Our blockchain implementation provides:
- Immutable Ledger 📝: Records all transactions and ownership transfers on public blockchains
- Smart Contracts 📄: Automates issuance, transfer, and redemption of carbon credits
- Tokenization 🪙: Converts verified carbon credits into NFTs or ERC-20 tokens
- Decentralized Storage 💾: Stores large verification files using IPFS
Blockchain Implementation:
- 🔷 Built on Ethereum for smart contract capabilities and energy efficiency
- 📜 Smart contract development in Solidity
- 🛠️ Development frameworks including Hardhat
- 🔌 Integration libraries Web3.js and Ethers.js
- 👛 User wallet connections via MetaMask
The VeriDuce web portal (Repository) serves as the user interface for the entire ecosystem:
- Frontend 🎨: Responsive React.js interface with intuitive dashboards and visualizations
- Backend ⚙️: Flask for API endpoints connecting ML models and portal
- Authentication 🔐: Web3 authentication for secure wallet-based login
- Analytics 📊: Interactive data visualizations showing market trends and environmental impact
The VeriDuce platform combines these components into a unified system:
┌─────────────────┐ ┌───────────────────┐ ┌─────────────────┐
│ User Portal │ │ Backend Services │ │ Machine Learning│
│ (React/Next.js)│────▶│ (Flask) │────▶│ Models │
└─────────────────┘ └───────────────────┘ └─────────────────┘
│ │ │
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌───────────────────┐ ┌─────────────────┐
│ Blockchain │ │ Smart Contracts │ │ Decentralized │
│ (Ethereum) │◀───▶│ (Solidity) │◀───▶│ Storage │
│ │ │ │ │ (IPFS) │
└─────────────────┘ └───────────────────┘ └─────────────────┘
- User Registration 👤: Companies and individuals create accounts and submit data about their emissions reduction efforts.
- ML Verification 🔍: The ML models analyze the data to verify claim authenticity and predict emission reductions.
- Blockchain Tokenization 🔗: Verified emission reductions are tokenized as carbon credits on the blockchain.
- Marketplace Trading 💹: Users buy and sell carbon credits through the platform with real-time price updates.
- Analytics Dashboard 📊: Users track their environmental impact, transaction history, and market trends.
- Enhanced Transparency 🔍: Eliminates fraud and double-counting using immutable blockchain records
- Market Confidence 📈: ML verification ensures carbon credits represent genuine emission reductions
- Sustainability Incentives 🌱: Creates financial rewards for environmental initiatives
- Democratized Access 🌐: Lowers barriers to entry for carbon credit markets
- Global Impact 🌍: Scalable solution addressing a critical component of climate action
- Node.js (v14.x or higher) 📦
- Python 3.8+ (for ML components) 🐍
- MetaMask 🦊
# Clone the repository
git clone https://github.com/Krintox/VeriDuce.git
# Navigate to project directory
cd VeriDuce
# Install dependencies
npm install
# Start the development server
npm run dev# Clone the ML repositories
git clone https://github.com/Krintox/Veriduce_carbon_emmission_predictor.git
git clone https://github.com/Krintox/Veriduce_carbon_credit_validator.git
git clone https://github.com/Krintox/Veriduce_fraud_detector.git
# For each repository, install requirements
cd repository_name
pip install -r requirements.txt- Register an Account 👤: Create an account and connect your Web3 wallet
- Submit Emission Reduction Data 📊: Upload your carbon emission reduction project details
- Verification Process ✅: Our ML models will verify your claims
- Receive Carbon Credits 🪙: Verified claims are tokenized as carbon credits
- Trade on Marketplace 💹: Buy, sell, or retire carbon credits through the platform
- Track Impact 📈: View your environmental impact metrics and transaction history
We welcome contributions to the VeriDuce project! Please submit pull requests or open issues on GitHub repositories.
- IoT Integration 📱: Automatic data collection using smart meters and environmental sensors
- AI-Powered Market Insights 🧠: ML-based carbon credit price prediction
- Multi-Chain Support ⛓️: Interoperability across multiple blockchains
- Mobile Applications 📱: Native mobile apps for on-the-go trading
- International Compliance 🌐: Integration with global carbon credit standards and regulations
- Data Quality 📊: Sourcing accurate, high-quality environmental data
- Blockchain Scalability ⚡: Managing transaction costs with increased platform adoption
- User Education 🎓: Training users on carbon credits and blockchain technology
- Regulatory Alignment 📜: Ensuring compliance with evolving carbon market regulations
This project is licensed under the MIT License - see the LICENSE.md file for details.
Visit our live demo to explore VeriDuce in action! 🚀