Published on: April 2026
WASTE MATERIAL PRICE DETECTION SYSTEM
Yashwant Waware Vinay Jawade Sayali Raut Swapnali Salunke
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Abstract
The rapid increase in waste generation due to urbanization and industrial growth has created significant challenges in waste management and recycling processes. One of the major issues faced by individuals is the lack of transparency and fairness in pricing recyclable waste materials such as plastic, metal, and paper. This paper proposes a Waste Material Price Detection System that leverages machine learning and full-stack web technologies to automatically identify waste materials through image processing and provide an estimated market price.
How to Cite this Paper
Waware, Y., Jawade, V., Raut, S. & Salunke, S. (2026). Waste Material Price Detection System. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.375
Waware, Yashwant, et al.. "Waste Material Price Detection System." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.375.
Waware, Yashwant,Vinay Jawade,Sayali Raut, and Swapnali Salunke. "Waste Material Price Detection System." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.375.
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- •Review follows editorial policy.
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 14 2026
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