Blockchain-Based-Water-Quality-Monitoring-System

Live The Code 3.O Global Hackathon: Blockchain-Based Water Quality Monitoring System

WEB3

Team: The CodeRunners

Brief Explanation of Idea

• Preventing Unauthorized Meters: This system uses smart contracts to manage and verify authorized IoT devices reporting data to the blockchain. Only regulators can register these devices, ensuring data integrity and security.

• Detecting IoT Meter Tampering and Data Fraud: We use Exponentially Weighted Moving Averages (EWMA) to predict water volume at future timestamps. Deviations beyond a set threshold trigger alerts, enabling quick response to potential tampering or data fraud.

• Smart Contracts Between Regulators & Organizations: Smart contracts enforce compliance with water quality standards set by regulators, ensuring transparent and accountable relationships between organizations and regulators.

• Data Transparency with Blockchain: Water usage and quality data are stored on the blockchain, providing immutable records and full transparency.

Newly Integrated Features

• Tampering Probability Indicator: Utilizes a TensorFlow model to assess the probability of tampering based on water usage patterns. This helps predict and detect fraudulent activities.

• Visual Tampering Indicator: Displays a real-time visual indicator (color-coded) showing the validity of meter data—green for valid, red for tampered. This improves clarity for regulators and organizations.

• Real-Time Monitoring Dashboard: Built with React.js and Web3.js, this dashboard provides live views of water usage data, tampering status, and alerts. Chart.js is used for data visualization.

• Email and SMS Alert System: Integrates with Twilio and SendGrid to send SMS and email notifications when tampering or unusual water usage is detected. This ensures timely communication with authorities.

Technical Architecture

1. Smart Contract for Device Authorization: Manages the registration of IoT devices on the blockchain, controlled by regulators.

2. Tampering Detection: Applies EWMA to forecast water usage and identifies deviations. Alerts are generated for unusual patterns.

3. Smart Contracts for Water Quality Compliance: Enforces regulatory criteria on water processing, ensuring adherence to set standards.

4. Data Storage on Blockchain: Provides immutable and transparent storage for water usage data.

5. Tampering Alerts and Notifications: Automated alerts via SMS and email for detected tampering, supported by a tampering probability indicator.

Tech Stack

• Ethereum
• Solidity
• Python
• React.js
• Node.js
• Web3.js
• MetaMask
• TensorFlow
• Azure SaaS
• Chart.js
• Twilio (for SMS alerts)
• SendGrid (for email alerts)

Screenshots

Logo

Real-Time Monitoring Dashboard

Tampering Probability Indicator

Visual Tampering Indicator

Email and SMS Alerts

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How to Run the Project

1. Clone the Repository

   git clone <repository-url>
   cd project-directory
   

2. Install Dependencies

   npm install
   

3. Set Up Environment Variables
   Create a .env file in the root of the project and add the following:

   TWILIO_ACCOUNT_SID=<Your-Twilio-Account-SID>
   TWILIO_AUTH_TOKEN=<Your-Twilio-Auth-Token>
   TWILIO_PHONE_NUMBER=<Your-Twilio-Phone-Number>
   SENDGRID_API_KEY=<Your-SendGrid-API-Key>
   ALERT_EMAIL_RECIPIENT=<Email-Recipient>
   

4. Set Up Twilio for SMS Alerts
   • Create a Twilio Account.
   • Obtain your Account SID, Auth Token, and a Twilio Phone Number.
   • Add these details to the .env file.
5. Set Up SendGrid for Email Alerts
   • Create a SendGrid Account.
   • Generate an API key from the SendGrid dashboard.
   • Add the API key and recipient email to the .env file.
6. Run the Application

   npm run dev
   

7. Access the Application Open your browser and navigate to http://localhost:8001 to view the real-time dashboard and manage tampering detection and alerts.

8. Generate Reports

   npm run generate-report
   

Implementation Challenges

• Tamper-Proof IoT Sensors: Ensuring IoT sensors are tamper-proof can be costly and varies with deployment scale.

• Manual Verification: Despite automated detection, physical checks by regulatory officials may still be necessary, introducing potential delays.

Contributors

• Yugh Juneja (https://github.com/yugh88)
• Aditya Raj (https://github.com/ArkhamBat)
• Priyanshu Joshi (https://github.com/TASS33)
• Mansi Kapse (https://github.com/Mansi-91)