• Vedika Joshi
• Sakshi Parihar
• Riya Dubey
• Radhika Karma

As urban populations grow and consumption rates rise, conventional waste management systems face mounting inefficiencies, leading to environmental harm and lost opportunities for resource recovery. To address these challenges, this paper presents ReArtify (a web based application), a tech-driven platform that integrates Artificial Intelligence (AI), Machine Learning (ML), and Internet of Things (IoT) to enable smart, sustainable waste management [10]. ReArtify employs AI-powered image classification to accurately identify and segregate waste types, while offering creative upcycling suggestions based on material composition. A built-in recommendation engine supports eco-artists and sustainable businesses with insights into material availability and market trends. IoT-enabled smart bins equipped with image and weight sensors gather real-time data, enabling predictive analysis of area-wise waste generation to optimize collection schedules. The platform also features a centralized web marketplace that connects waste generators with environmentally conscious creators, promoting circular economy principles. Interactive dashboards provide users and policymakers with metrics such as CO₂ savings, recycling rates, and sustainability scores. Additionally, ReArtify fosters behavioral change through gamification and incentives, and explores future enhancements like blockchain-based waste traceability and ESG-integrated reporting. ReArtify exemplifies a scalable, holistic approach to transforming urban sustainability through intelligent, data-driven innovation.

Waste Management, Smart Bins, Upcycling, Circular Economy, Eco-Art. [10]

"From Waste to Worth: AI and IoT-Based System for Predictive Waste Management and Eco-Product Innovation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.382-391, May-2025, Available :http://www.jetir.org/papers/JETIRGV06056.pdf

"From Waste to Worth: AI and IoT-Based System for Predictive Waste Management and Eco-Product Innovation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. pp382-391, May-2025, Available at : http://www.jetir.org/papers/JETIRGV06056.pdf