Pouya Rivandi
Data Science and Search Engines for Green Technologies and Sustainable Industries.
Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2024
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Abstract
This thesis introduces an innovative digital platform designed to advance industrial symbiosis (IS) and circular economy (CE) practices in sustainable waste management. Addressing critical challenges of resource scarcity and environmental sustainability, this platform leverages modern web technologies to connect waste producers with potential users, streamline waste-to-resource conversion processes, and provide consultancy services. The platform’s architecture combines a robust backend powered by NestJS and MongoDB with a responsive frontend built on Vue.js, enabling sophisticated functionalities for waste management and resource optimization. The platform orchestrates interactions among companies within the industrial ecosystem. Industrial companies participate both as waste producers and potential consumers, managing their waste outputs and resource needs through adding site locations on their profiles.
Environmental consultants provide expertise in waste management, while specialized service providers facilitate waste-to-resource conversion processes
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