Location of the Nearest E-Waste collection and Recycling Facility-Reference-Cited by-同舟云学术

Location of the Nearest E-Waste collection and Recycling Facility

Published:2024-02-29 Issue: Volume: Page:226-228
ISSN:2581-9429
Container-title:International Journal of Advanced Research in Science, Communication and Technology
language:en
Short-container-title:IJARSCT

Author:

Miss. Bhumika B. Bachhav ¹,Miss. Bhargavi K. Bharitkar ¹,Miss. Bhargavi K. Bharitkar ¹,Miss. Bhargavi K. Bharitkar ¹,Prof. S .S. Kushare ¹

Affiliation:

1. Matoshri Aasarabai Polytechnic, Eklahare, Nashik, Maharashtra, India

Abstract

The main purpose of online e-waste location system is to provide nearby e-waste locations to the user. The project integrates GPS mapping with real-time data to create a user-friendly. The project not only promotes environmental sustainability by diverting e-waste from landfills but also raises awareness about the importance recycling and environmental conservation. This abstract encapsulates a user-focused approach to solving the problem of e-waste disposal by combining geospatial technology and applications, thereby contributing to a cleaner environment and a more sustainable future.

Publisher

Naksh Solutions

Reference8 articles.

1. Jafari, O.H.; Yang, M.Y. Real-time RGB-D based template matching pedestrian detection. In Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 16–21 May 2016. [Google Scholar]

2. Mahipal, S.S.; Mayuri, K.; Manisha, N.; Shriyash, M.; Gaurav, S.; Bhaskar, C.; Rajeev, K. Effect of Electronic waste on Environmental & Human health-A Review. IOSR J. Environ. Sci. Toxicol. Food Technol. (IOSR-JESTFT) 2016, 10, 98–104. [Google Scholar]

3. Tanvir, A.; Rabeeh, G.; Fariborz, F.; Shahabuddin, M. E-Waste Recycling Technologies: An Overview, Challenges and Future Perspectives. In Paradigm Shift in E-Waste Management; CRC Press: Boca Raton, FL, USA, 2022; pp. 143–176. [Google Scholar] [CrossRef]

4. Wayne, V.; Joseph, F. Time Series Analysis. In Handbook of Psychology; Research Methods in Psychology; John Wiley & Sons: New York, NY, USA, 2003; Volume 2, pp. 581–606. ISBN 9780471264385. [Google Scholar] [CrossRef]

5. Dubey, A.; Kumar, A.; García Díaz, V.; Sharma, A.; Kanhaiya, K. Study and analysis of SARIMA and LSTM in forecasting time series data. Sustain. Energy Technol. Assess. 2021, 47, 101474. [Google Scholar]