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The project employs React.js for frontend development, Web3.js for Ethereum blockchain integration, and Solidity for smart contract development, ensuring transparent tracking and secure transactions. Machine learning insights derived from e-waste data analysis guide waste management strategies, while Node.js facilitates backend operations and data

Solidity 20.74% JavaScript 71.74% HTML 2.34% CSS 5.17%
colab-notebook ethereum ethereum-blockchain machine-learning nodejs reactjs solidity web3js

blockchain-e-waste-tracking-system-bets-'s Introduction

Blockchain-based E-waste Tracking System (BETS)

E-waste management system tracking the product lifecycle from inception to end-of-life via Web3 and React to enhance system capabilities.

Problem Statement

Every year, a significant amount of electronic devices become obsolete, contributing to the growing e-waste problem. Improper management of e-waste can have detrimental effects on the environment and human health. Current methods of e-waste management often lack transparency and accountability, making it challenging to track the lifecycle of electronic products and ensure responsible disposal and recycling practices.

Solution

The 'EWaste Management' project proposes the use of blockchain technology to revolutionize e-waste management. By creating a decentralized platform, manufacturers, distributors, retailers, consumers, refurbishers, recyclers, and governmental and environmental agencies can interact and track the lifecycle of electronic products effectively. Each entity in the supply chain can perform specific actions such as 'Sell', 'Give', 'Dispose', or 'Return', ensuring transparency and accountability at every stage of the product lifecycle.

Accomplishments

  1. Developed a holistic e-waste management system addressing the product lifecycle from inception to end-of-life.
  2. Achieved seamless integration of Web3 with React, enhancing system capabilities.
  3. Created an adaptive and user-friendly UI/UX design, ensuring a satisfying user experience.
  4. Implemented robust data capturing mechanisms for accurate tracking without compromising usability.
  5. Established granular transaction rights for stakeholders, enhancing system depth and customization.

Functionality

Blockchain Core

Utilizing a decentralized ledger, the project records the lifecycle of electronic devices, ensuring traceability and transparency.

Entity Transactions

Stakeholders such as manufacturers and consumers have distinct functionalities, enabling actions like 'Sell', 'Return', or 'Dispose' based on their role in the supply chain.

ML Insights

Machine Learning algorithms analyze e-waste data to predict product lifespans and forecast e-waste generation, aiding in waste management planning.

Regulatory Oversight

Governmental and environmental agencies can monitor transactions, ensuring compliance with e-waste regulations and standards.

Sustainability Metrics

By integrating blockchain data and ML insights, the project provides key sustainability metrics, guiding optimized e-waste strategies.

Development Process

Frontend Development

Implemented using React.js, providing a responsive interface for users to interact with the system.

Blockchain Integration

Utilized Web3.js to connect the frontend to the Ethereum blockchain, enabling transparent tracking of electronic device lifecycles.

Smart Contracts

Developed using Solidity, ensuring secure and immutable record-keeping for transactions.

Machine Learning Insights

Performed Exploratory Data Analysis (EDA) on e-waste data using Google Colab, guiding prediction algorithms for waste management.

Backend Services

Utilized Node.js for server-side operations, interfacing with the blockchain and serving the frontend.

Database Management

Ensured robust storage and retrieval of non-blockchain data for efficient system operation.

Security Measures

Employed cryptographic techniques to secure transactions and ensure data privacy.

Challenges Faced

  • Integrating Web3 with React for seamless blockchain integration.
  • Balancing UI/UX design decisions for an intuitive and visually appealing interface.
  • Designing advanced forms for detailed data capture while maintaining usability.
  • Troubleshooting configurations such as 'tsconfig.json' for system stability.
  • Implementing nuanced transaction rights for different stakeholders while ensuring system integrity.
  • Integrating machine learning insights derived from EDA into the main platform seamlessly.

Colab Links

https://colab.research.google.com/drive/1O13tkZMoanl-IakYBy_bDLDCcdrDb-_A?usp=sharing

https://colab.research.google.com/drive/1KfSAJ25XE4syYa1NWGjSqi-lAmEhpyf4?usp=sharing

Project Architecture

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Phone Lifecycle Event Flow

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Code Snippets

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