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arxiv: 2605.17924 · v1 · pith:N7TRAOMXnew · submitted 2026-05-18 · 💻 cs.HC

GREEN GRID: A Web-Based E-Waste Recycling Platform

Yashodip Jagtap , Aaditya Bagul , Om Kothawal , Puja Patil This is my paper

Pith reviewed 2026-05-20 09:25 UTC · model grok-4.3

classification 💻 cs.HC
keywords e-wasterecycling platformweb applicationsustainabilityrewards systemenvironmental awarenesscircular economy
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The pith

Green Grid web platform turns e-waste recycling into a transparent and incentivized process using locators, rewards, and AI tools.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper presents Green Grid as a full-stack web platform built to address the rapid growth of electronic waste by simplifying proper disposal. It integrates an E-Dumper Locator, rewards program, awareness resources, pickup scheduling, impact calculator, AI assistant, and marketplace to make recycling more convenient and beneficial for users. The authors claim that this combination of technology, education, and incentives will encourage responsible behavior and support recovery of materials like gold and copper. If the features work as intended, more e-waste could move through authorized channels instead of causing pollution from improper handling.

Core claim

Green Grid is a full-stack web-based platform designed to simplify and encourage e-waste recycling through an E-Dumper Locator, Green Rewards System, Insights and Awareness Hub, Scheduled Pickup Service, Recycling Impact Calculator, Eco AI Assistant, and Eco-Marketplace. Developed using React.js, Node.js, Express.js, SQL, Google Maps API, and JWT authentication, the platform transforms e-waste recycling into a transparent, educational, and rewarding process by combining technology, awareness, and incentives to promote responsible disposal and circular economy practices.

What carries the argument

The suite of connected features in the Green Grid platform, especially the locator and rewards system, that link users directly to recycling options while adding motivation through incentives and information.

If this is right

  • Users can locate nearby authorized recycling points more easily through the integrated mapping tool.
  • The rewards and marketplace create direct benefits that encourage people to choose formal recycling channels.
  • Educational content and impact calculations raise awareness about the value of materials and risks of improper disposal.
  • Scheduled pickup services lower the effort required for responsible e-waste handling.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same feature set could be adapted to other waste streams to encourage broader circular practices.
  • Usage data from the platform might reveal patterns that help improve local recycling policies over time.
  • Expansion to mobile devices would likely reach more people who generate e-waste regularly.

Load-bearing premise

The platform's features will lead to increased proper recycling and user engagement without any presented data or validation from actual users.

What would settle it

A comparison of recycling rates or disposal habits before and after introducing the Green Grid platform to a group of users, or direct observation that participation remains unchanged.

Figures

Figures reproduced from arXiv: 2605.17924 by Aaditya Bagul, Om Kothawal, Puja Patil, Yashodip Jagtap.

Figure 2
Figure 2. Figure 2: System Architecture of Green Grid [PITH_FULL_IMAGE:figures/full_fig_p006_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Workflow Diagram of Green Grid [PITH_FULL_IMAGE:figures/full_fig_p007_3.png] view at source ↗
Figure 5
Figure 5. Figure 5: Use Case Diagram of Green Grid [PITH_FULL_IMAGE:figures/full_fig_p008_5.png] view at source ↗
read the original abstract

Electronic waste (e-waste) is one of the fastest-growing waste streams worldwide due to rapid technological advancements and shorter device lifespans. Improper disposal releases hazardous substances that harm the environment and human health, while valuable materials such as gold, copper, and aluminum are lost if not recycled. In 2022, approximately 62 million metric tonnes of e-waste were generated globally, but only about 22% was formally recycled. India generated around 1.751 million metric tonnes in 2023-24, with only 43% processed through authorized channels. Green Grid is a full-stack web-based platform designed to simplify and encourage e-waste recycling through an E-Dumper Locator, Green Rewards System, Insights and Awareness Hub, Scheduled Pickup Service, Recycling Impact Calculator, Eco AI Assistant, and Eco-Marketplace. Developed using React.js, Node.js, Express.js, SQL, Google Maps API, and JWT authentication, the platform transforms e-waste recycling into a transparent, educational, and rewarding process. By combining technology, awareness, and incentives, Green Grid promotes responsible disposal and supports circular economy practices for a more sustainable future.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript describes Green Grid, a full-stack web-based platform for e-waste recycling. It outlines the global and Indian e-waste problem with statistics on generation and low formal recycling rates, then details the platform's features: E-Dumper Locator, Green Rewards System, Insights and Awareness Hub, Scheduled Pickup Service, Recycling Impact Calculator, Eco AI Assistant, and Eco-Marketplace. The system is implemented using React.js, Node.js, Express.js, SQL, Google Maps API, and JWT authentication. The central claim is that combining technology, awareness, and incentives transforms e-waste recycling into a transparent, educational, and rewarding process that promotes responsible disposal and circular economy practices.

Significance. If the platform's features were shown to increase proper recycling and user engagement, the work could contribute to addressing a pressing environmental issue in high e-waste regions like India. The integration of location services, rewards, impact calculation, and AI assistance represents a coherent feature set that targets known barriers to recycling. The technical stack is standard and well-suited for a web platform. However, without any evaluation, the significance remains prospective rather than demonstrated.

major comments (2)
  1. Abstract: The claim that Green Grid 'transforms e-waste recycling into a transparent, educational, and rewarding process' and 'promotes responsible disposal' is presented without any supporting user studies, adoption metrics, pilot results, or performance data. This assumption is central to the paper's stated contribution but remains unvalidated.
  2. No dedicated evaluation or results section appears in the manuscript. Claims of effectiveness rest on feature description alone, which is load-bearing for assessing whether the platform achieves its goals of increased recycling and engagement.
minor comments (2)
  1. Implementation details: Expand on the database schema and how it supports user tracking for the rewards system and impact calculator.
  2. Figures and visuals: Add UI screenshots, system architecture diagram, or user flow illustrations to clarify the described features.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the detailed and constructive comments on our manuscript. We value the feedback highlighting the potential significance of the Green Grid platform while noting the lack of empirical validation. We will revise the manuscript to ensure that all claims are appropriately supported by the content presented and to include plans for future evaluation.

read point-by-point responses

  1. Referee: Abstract: The claim that Green Grid 'transforms e-waste recycling into a transparent, educational, and rewarding process' and 'promotes responsible disposal' is presented without any supporting user studies, adoption metrics, pilot results, or performance data. This assumption is central to the paper's stated contribution but remains unvalidated.

    Authors: We agree that the abstract employs language implying demonstrated real-world impact without accompanying empirical evidence such as user studies or metrics. The manuscript is structured as a system description paper focused on the design, features, and technical implementation of the platform. To address this, we will revise the abstract to describe the platform's intended functionalities and design goals more precisely, qualifying or removing assertions of transformation and promotion of responsible disposal that lack supporting data in the current work. revision: yes

  2. Referee: No dedicated evaluation or results section appears in the manuscript. Claims of effectiveness rest on feature description alone, which is load-bearing for assessing whether the platform achieves its goals of increased recycling and engagement.

    Authors: The manuscript does not contain an evaluation or results section because its scope is limited to presenting the platform's architecture, feature set, and implementation details using the specified technology stack. We recognize that this leaves claims of effectiveness untested. As we do not currently have completed user studies, adoption metrics, or pilot results, we will add a dedicated 'Evaluation Plan and Future Work' section that specifies proposed metrics for engagement and recycling impact along with plans for controlled studies and data collection. This addition will clarify the manuscript's current contribution while outlining paths to validation. revision: partial

Circularity Check

0 steps flagged

No circularity: straightforward system description with no derivations

full rationale

The manuscript is a descriptive account of a web platform's architecture, feature set (E-Dumper Locator, Rewards System, etc.), and tech stack (React, Node, SQL, etc.). No equations, predictions, fitted parameters, or derivation chains exist. The claim that the platform 'transforms' recycling is a design goal statement rather than a tested result derived from prior steps within the paper. No self-citations, ansatzes, or uniqueness theorems are invoked. The work is self-contained as a system proposal.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is a descriptive account of a web application with no mathematical models, fitted parameters, axioms, or new postulated entities.

pith-pipeline@v0.9.0 · 5737 in / 1045 out tokens · 31704 ms · 2026-05-20T09:25:06.194334+00:00 · methodology

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Reference graph

Works this paper leans on

43 extracted references · 43 canonical work pages

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    INTRODUCTION Electronic devices have become essential in modern life, supporting communication, education, healthcare, entertainment, and industrial automation. As smartphones, laptops, televisions, batteries, and household appliances are replaced more frequently, the amount of discarded electronics, known as electronic waste (e-waste), continues to grow ...

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    Althou gh these initiatives have increased public awareness, most existing systems still suffer from several limitations

    LITERATURE SURVEY A variety of approaches have been proposed to improve e-waste management, including government awareness campaigns, manufacturer take -back programs under Extended Producer Responsibility (EPR), NGO-led collection drives, and private pickup services. Althou gh these initiatives have increased public awareness, most existing systems still...

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    The system connects citizens, recycling centers, administrators, and policymakers through a secure, scalable, and user-friendly architecture

    PROPOSED SYSTEM Green Grid is proposed as an integrated full -stack web platform that formalizes and simplifies the process of e -waste recycling. The system connects citizens, recycling centers, administrators, and policymakers through a secure, scalable, and user-friendly architecture. Its primary goal is to make e -waste disposal more accessible, trans...

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    To help users locate nearby certified E-Dumper collection centers

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    To encourage recycling through a Green Rewards System that awards points for responsible disposal

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    To educate citizens about e-waste hazards, recycling methods, and sustainable practices

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    Green Grid consists of several major modules that work together to provide a complete e -waste management solution:

    To promote reuse and refurbishment through an integrated Eco-Marketplace. Green Grid consists of several major modules that work together to provide a complete e -waste management solution:

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    Authentication Module - Handles user registration, login, password recovery, and secure session management using JWT authentication

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    E-Dumper Locator Module - Displays nearby authorized recycling centers using Google Maps API and geolocation services

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    Green Rewards Module - Awards Green Points for recycling activities and maintains reward and redemption history

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    Insights and Awareness Module - Provides blogs, articles, and educational guides related to e-waste and sustainability

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    Scheduled Pickup Module - Allows users to book doorstep pickup services if they are unable to visit a recycling center

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    The proposed system ensures that every recycling activity is digitally recorded, rewarded, and converted into measurable environmental impact

    Recycling Impact Calculator - Estimates environmental benefits such as carbon emissions reduced, energy saved, and natural resources conserved. The proposed system ensures that every recycling activity is digitally recorded, rewarded, and converted into measurable environmental impact. By integrating these modules into a single platform, Green Grid create...

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    Each module is designed to simplify the recycling process, increase public participation, and provide measurable environmental benefi ts

    SYSTEM OVERVIEW AND FEATURES Green Grid integrates multiple user-centric features that work together to create a complete e-waste management ecosystem. Each module is designed to simplify the recycling process, increase public participation, and provide measurable environmental benefi ts. The major features of the platform are described below. 4.1 E-DUMPE...

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    This layered design ensures modular development, scalability, maintainability, and efficient data processing

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    WORKFLOW OF GREEN GRID The operational workflow of Green Grid is designed to make e-waste recycling simple, accessible, and educational for users. The platform guides users through a structured process that includes locating certified recycling centers, scheduling pickups, calcul ating environmental impact, and accessing awareness content. Each activity i...

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    User registers and logs into the platform using secure authentication

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    User searches for nearby E-Dumper locations through the E-Dumper Locator integrated with Google Maps

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    User either deposits e-waste at a certified recycling center or schedules a doorstep pickup using the Scheduled Pickup Service

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    The system records the recycling request, pickup details, and transaction information in the database

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    The Eco AI Assistant provides guidance on recyclable electronic items, proper disposal methods, and answers to sustainability-related questions

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    The Recycling Impact Calculator updates environmental metrics such as CO₂ emissions reduced, energy saved, water conserved, and raw materials recovered

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    CONCLUSION AND FUTURE SCOPE Green Grid is a comprehensive web -based e -waste recycling platform that addresses the key challenges in modern e-waste management by integrating essential features such as the E-Dumper Locator, Scheduled Pickup Service, Eco AI Assistant, Recycling Impact C alculator, Blog and Awareness Hub, and administrative monitoring. The ...

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