Waste Sorting Mobile Application for Interactive AI Based Waste Management System
Rishabh Kansal1, Lavanya Yadav2, Aju D3
1Rishabh Kansal, Student, Department of Computer Science and Engineering, VIT University, Vellore, Tamil Nadu, India.
2Lavanya Yadav, Student, Department of Computer Science and Engineering, VIT University, Vellore, Tamil Nadu, India.
3Dr Aju D, Associate Professor, Department of Computer Science and Engineering, VIT University, Vellore, Tamil Nadu, India.
Manuscript received on May 25, 2020. | Revised Manuscript received on June 29, 2020. | Manuscript published on July 30, 2020. | PP: 255-260 | Volume-9 Issue-2, July 2020. | Retrieval Number: B3476079220/2020©BEIESP | DOI: 10.35940/ijrte.B3476.079220
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A lot of us are misinformed about trash and how it can be managed. We don’t know what kind of trash can be repurposed or be turned into usable items such jas manure. We tend to throw everything out together without segregating at the source of generation. Through our app, they can simply point towards objects and understand what to do with that trash. The goal is to sensitize people not only to segregate trash but also reduce their waste regeneration through practices like composting and reusing. We should first try to understand the plight of waste management in India and how it can be made better. In this project, we will create a mobile app, Python Server with Flask, and Watson Visual Recognition. This mobile app sends pictures of waste and garbage to be analyzed by a server app, using Watson Visual Recognition. The server application will use pictures of common trash to train Watson Visual Recognition to identify various categories of waste, e.g. recycle, compost, or landfill. The resultant smart dustbin is very effective as people have an urge of curiosity and after learning more about their waste, they always tend to make the right decisions. We aim to make a difference in the society through our app and help in making a cleaner and better tomorrow.
Keywords: Waste Management, CNN, IBM Watson, iOS Mobile Application, AI.