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Transforming Waste Management in India: Streamlining Practices with Conversational UX and AI

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

India’s growing population is generating an increasing amount of waste, leading to the proliferation of landfills and unsightly garbage dumped across streets. This phenomenon has given rise to issues including health hazards, global warming, water and soil contamination, and environmental pollution. The root cause lies in a lack of awareness and education about proper waste management practices, leaving people oblivious to the consequences of their inefficient actions. To tackle this problem at its core, there is a pressing need to implement effective waste segregation measures. Proper waste segregation not only reduces the reliance on landfills but also mitigates health risks, contamination, and global warming. Additionally, it simplifies recycling processes, thereby minimising the need for landfill storage. Improved waste segregation also benefits garbage pickers, sparing them from exposure to hazardous materials. Introducing conversational UX and AI is crucial to making waste segregation a seamless and interactive experience for users. A smart AI bin with a voice bot was introduced, revolutionising waste segregation with unprecedented ease and efficiency. This smart bin offers features like query response, alerts, and real-time information. This paper explores how the integration of conversational tools and AI can transform waste management practices in India, opening avenues for future innovations in the field.

Original languageEnglish
Title of host publicationNavigating the Technological Tide
Subtitle of host publicationThe Evolution and Challenges of Business Model Innovation - Proceedings of the International Conference on Business and Technology ICBT2024
EditorsBahaaeddin Alareeni, Allam Hamdan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages496-504
Number of pages9
ISBN (Print)9783031674433
DOIs
Publication statusPublished - 2024
EventInternational Conference on Business and Technology, ICBT 2024 - Cambridge, United Kingdom
Duration: 19 Apr 2024 → 20 Apr 2024

Publication series

NameLecture Notes in Networks and Systems
Volume1080 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Business and Technology, ICBT 2024
Country/TerritoryUnited Kingdom
CityCambridge
Period19/04/24 → 20/04/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Artificial Intelligence
  • Conversational User Experience
  • Smart Bin
  • Waste Segregation

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