Nurturing Awareness and Responsible Practices in E-waste Management
Keywords:
Electronic Waste, Waste Management, E-Waste Facility Center, E Waste, Image Identification ModelAbstract
Nowadays, people use electronic devices everywhere and all the time. Though they prove to improve our quality of everyday life, there also stands a challenge which is electronic waste (e-waste). The constantly expanding technology and unawareness among people about its severe effects remains a problem. Many harmful substances like mercury, barium and lead are found in e-waste and a huge amount of e-waste is generated consistently and if not urgently addressed it would show consequences by affecting our mother earth, our environment and health. Hence, our website "E-waste Facility locator" aims to contribute to proper e-waste management and responsible disposal. This issue demands attention and hence, we aim to develop a website that would increase the awareness among people of the e-waste and its effects. Our website focuses towards helping people find e-waste facilities and recycling centers nearby to their location which would increase the use of suitable e-waste disposal methods. We will also integrate an image identification model that would identify the e-waste item based on the image uploaded by the user and assist the user by suggesting a list of solutions on how to correctly dispose that off. Our website mainly focuses towards increasing awareness among people of the adverse effects of e-waste.
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References
Baldé, Kees & Wang, Feng & Kuehr, Ruediger & Huisman, Jaco. (2015). The Global E-waste Monitor – 2014.
Hilty, Lorenz. (2005). Electronic Waste—An Emerging Risk?. Environmental Impact Assessment Review. 25. 431-435. 10.1016/j.eiar.2005.04.002.
Hilty, Lorenz & Som, Claudia & Koehler, Andreas. (2004). Assessing the Human, Social, and Environmental Risks of Pervasive Computing. Human and Ecological Risk Assessment. 10. 10.1080/10807030490513874.
Schluep, Mathias & Hagelüken, Christian & Kuehr, Ruediger & Magalini, Federico & Maurer, Claudia & Meskers, Christina & Thiébaud (-Müller), Esther & Wang, Feng. (2009). Recycling - from e-waste to resources.
Herat S, Agamuthu P (2012) E-waste: a problem or an opportunity? Review of issues, challenges and solutions in Asian countries.
UNEP, Recycling—From e-Waste to Resources: Sustainable Innovation and Technology Transfer Industrial Sector Studies, United Nations Environment Programme, 2009
Adhana, Deepak. (2020). E-WASTE MANAGEMENT IN INDIA: A STUDY OF CURRENT SCENARIO
J Bharadiya (2023) Convolutional Neural Networks for Image Classification.
Electronic Waste Management and Disposal: An Overview" Authors: Ammar Karkar and Shamim Haider.
Ritu, Sachan & Agarwal, Shalini,. (2013). Knowledge of E-Waste among Young Adults. International j of engineering science invention. 2. 39-41.
R. K. A. R. Kariapper, P. Pirapuraj, M. S. S. Razeeth, A. C. M. Nafrees and K. L. M. Rameez, "Smart Garbage Collection Using GPS & Shortest Path Algorithm," 2019 IEEE Pune Section International Conference (PuneCon), Pune, India, 2019, pp. 1-6, doi: 10.1109/PuneCon46936.2019.9105674.
Dharam Singh, Vikash Kumar (2023) Awareness and Handling Practices of Electronic Waste in Indian Households and Society
A Kumar, KP Singh, S Kumar, L Vetrivendan (2022) Image Classification in Python using Keras
S Yu, S Jia, C Xu (2017) Convolutional neural networks for hyperspectral image classification
A. Baskar, “Locating the Economic and other Performance Centres of Asia using Geodetic Coordinates, Haversine Formula and Weiszfeld’s Algorithm,” IOP Conf Ser Mater Sci Eng, vol. 912, no. 6, p. 062001, 2020
Eko Prasetyo, Septian & Utomo, Aryo & Hudallah, Noor. (2018). Implementation of Google Maps API 3 with Haversine Algorithm in the Development of Geographic Information System Boarding House Finder. 10.5220/0009008902270233.
Huang, Haosheng & Gao, Song. (2018). Location-Based Services. 10.22224/gistbok/2018.1.14.
K. Virrantaus et al., "Developing GIS-supported location-based services," Proceedings of the Second International Conference on Web Information Systems Engineering, Kyoto, Japan, 2001, pp. 66-75 vol.2, doi: 10.1109/WISE.2001.996708.
Ramprasath, Muthukrishnan & Hariharan, Shanmugasundaram & Prasath, Ram. (2022). Image Classification using Convolutional Neural Networks
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