Authors : Mukhtar Abubakar Yusuf

Volume/Issue : Volume 10 - 2025, Issue 5 - May

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Google Scholar : https://tinyurl.com/5n6atcsx

DOI : https://doi.org/10.38124/ijisrt/25may261

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : This paper presents a novel, AI-enabled waste disposal model that improves urban sanitation for vulnerable groups through smart bins, route optimization, and mobile interfacing. Stakeholder collaboration informed system development. A $33,000 MVP investment achieves early breakeven with 10-year revenue forecasts exceeding $7 million. Regression analysis confirms financial predictability, with revenue and cost as primary performance drivers. This paper contributes to the literature on sustainable waste technologies by demonstrating both public health impact and financial viability, while also offering data-driven insights into cost structures that can support scalable, inclusive sanitation models.

Keywords : Smart Waste Management, AI Logistics, Accessibility, Sustainable Systems, Social Innovation, Financial Forecasting.

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