Abstract: Sustainable waste management solutions, particularly for EV batteries and electrical components, are in high demand due to the growing popularity of electric vehicles (EVs). Our Go-Lang-based platform provides a comprehensive digital solution to efficiently manage and recycle EV waste as a response to this challenge. The platform's core functions, technological framework, and impact on the environment are examined in this paper, highlighting its role in sustainable waste disposal. The system includes real-time map-based waste collection, allowing EV users to effortlessly schedule pickups for recyclable materials in order to increase user engagement. Optimized route planning for collection agents also reduces carbon emissions and ensures faster and more effective waste retrieval. Transparency and accountability during the recycling process are enhanced by data-driven analytics and secure transactions. Users of all backgrounds can easily navigate and interact with the platform thanks to its intuitive and user-friendly interface. It ensures that discarded materials undergo proper processing, minimizing environmental harm, by connecting EV owners with authorized showrooms and recycling centers. Additionally, future waste collection strategies can be improved with the help of AI-powered predictive analytics. This study demonstrates the platform's potential to transform EV waste recycling by examining its technological architecture, business model, and impact on sustainable waste management. Insights into possible future developments are provided at the paper's conclusion, with an emphasis on continuous innovation and adapting to changing environmental regulations.
Keywords: Electric Vehicle Recycling, Waste Management, Sustainable Disposal, Go-Lang Application, Route Optimization, AI in Waste Collection, Environmental Protection.
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DOI:
10.17148/IJARCCE.2025.14386
