Real-Time Analysis of E-Waste Monitoring Using Data Visualization in Power BI

Year : 2025 | Volume : 16 | Issue : 02 | Page : 1 7
    By

    Prabhakar D,

  • Chitra P,

  • Harshitha K.V,

  • Sahana H.,

  • Varshini S.,

  1. Professor, Department of Computer Science and Engineering Karpagam College of Engineering Coimbatore, Tamil Nadu, India
  2. Student, Department of Computer Science and Engineering Karpagam College of Engineering, Coimbatore, Tamil Nadu, India
  3. Student, Department of Computer Science and Engineering Karpagam College of Engineering, Coimbatore, Tamil Nadu, India
  4. Student, Department of Computer Science and Engineering Karpagam College of Engineering, Coimbatore, Tamil Nadu, India
  5. Student, Department of Computer Science and Engineering Karpagam College of Engineering, Coimbatore, Tamil Nadu, India

Abstract

The exponential growth of electronic waste (e-waste) in India poses significant environmental and public health challenges, necessitating robust monitoring, management, and disposal strategies. This project, Real-time analysis of e-waste generated across different countries in the world and also survey report of India, seeks to provide a comprehensive assessment of e-waste production patterns, utilizing real-time data to capture dynamic shifts in waste generation and collection. By leveraging Power BI for advanced data visualization, this study pinpoints regions with the highest levels of e-waste, uncovering underlying factors such as population density, urbanization, economic activity, and industrialization that contribute to these disparities. The project incorporates a diverse range of data sources, including governmental reports, environmental agency databases, ensuring data accuracy and relevance. This integration of real-time data allows policymakers and environmental organizations to detect emerging trends and respond in time to mitigate the risks of environmental and health impacts. Interactive Power BI dashboards facilitate continuous monitoring and forecasting, arming decision- makers with tools for proactive waste management. The visualizations make granular details about waste generation by category easily accessible and point out areas that need immediate intervention. Additionally, the project explores country-wise comparisons of waste recycling rates and disposal practices, spotlighting areas where sustainable improvements can be prioritized. Ultimately, this analysis serves as a critical resource for developing sustainable policies and fostering responsible e- waste disposal practices. By providing actionable insights, it lays the groundwork for a more environmentally conscious digital landscape in India, aligning with global sustainability goals and encouraging public awareness around e-waste issues.

Keywords: E-waste, data visualization, Power BI, insights, analysis, Pandas, Numpy

[This article belongs to Journal of Remote Sensing & GIS ]

How to cite this article:
Prabhakar D, Chitra P, Harshitha K.V, Sahana H., Varshini S.. Real-Time Analysis of E-Waste Monitoring Using Data Visualization in Power BI. Journal of Remote Sensing & GIS. 2025; 16(02):1-7.
How to cite this URL:
Prabhakar D, Chitra P, Harshitha K.V, Sahana H., Varshini S.. Real-Time Analysis of E-Waste Monitoring Using Data Visualization in Power BI. Journal of Remote Sensing & GIS. 2025; 16(02):1-7. Available from: https://journals.stmjournals.com/jorsg/article=2025/view=223049


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Regular Issue Subscription Review Article
Volume 16
Issue 02
Received 25/03/2025
Accepted 15/04/2025
Published 10/07/2025
Publication Time 107 Days
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