OBJECT DETECTION USING CNN
Abstract & Details
Research Area
Master Of Computer Application
Keywords
Sustainability
Environmental Impact
Detection Of Error
Database
Time Management
Accurate.
Abstract
The disposal of food waste is accomplished through the use of a web-based system. This online application acts as the connection between those who are willing to donate food and others who are in need of it. Donors of food enter their addresses and details about the quantity of food they are donating into this application. The goal of This endeavour is to create a web-based application with the purpose of reducing how much food there is wasted in restaurants, events, and other settings. The current method just offers information on the sum of all the food that is thrown out, and not offer a way to contribute or analyse data. Utilizing data analysis to create a visual representation of the impact. Donating the excess food, which includes supplying the following information: first, the location of where the excess food is available, well as facts in relation to the amount of food that is now available. Send immediate alerts to neighbouring nongovernmental organizations, orphanages, and volunteer groups asking them to collect them. A study found that each year, 1.3 billion tons of food are lost This project's main goal is to develop a technique that reduces the amount of food wasted by focusing on the creation of a web application that uses data to visualize the impact that extra food has, with the end goal of lessening the quantity of food that is thrown away. It also makes it possible to donate the food that is produced in excess by providing the local users (such as NGOs and volunteers) with information regarding the food that is available for distribution.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Vinay L | THE OXFORD COLLEGE OF ENGINEERING |
| 2 | Liya Naiju | THE OXFORD COLLEGE OF ENGINEERING |
How to Cite
Use the following formats to cite this article in your research.
APA Style
L, Vinay & Naiju, Liya (2023). OBJECT DETECTION USING CNN. International Journal of Advance Research and Innovative Ideas In Education, 9(4), 2180-2184.
MLA Style
L, Vinay, and Liya Naiju. "OBJECT DETECTION USING CNN." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, 2023, pp. 2180-2184.
IEEE Style
Vinay L and Liya Naiju, "OBJECT DETECTION USING CNN," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, pp. 2180-2184, 2023.
Vancouver Style
L Vinay, Naiju Liya. OBJECT DETECTION USING CNN. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(4):2180-2184.
Harvard Style
L, Vinay & Naiju, Liya (2023) 'OBJECT DETECTION USING CNN', International Journal of Advance Research and Innovative Ideas In Education, 9(4), pp. 2180-2184.
Chicago Style
L, Vinay and Liya Naiju. "OBJECT DETECTION USING CNN." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 2180-2184.
Turabian Style
L, Vinay and Liya Naiju. "OBJECT DETECTION USING CNN." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 2180-2184.
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