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Title: :  OBJECT DETECTION USING CNN
PaperId: :  21346
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-21346
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vinay LTHE OXFORD COLLEGE OF ENGINEERING
Liya NaijuTHE OXFORD COLLEGE OF ENGINEERING

Abstract

Master Of Computer Application
Sustainability, Environmental Impact, Detection Of Error, Database, Time Management ,Accurate.
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.

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IJARIIE Vinay L, and Liya Naiju. "OBJECT DETECTION USING CNN" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 2180-2184
MLA Vinay L, and Liya Naiju. "OBJECT DETECTION USING CNN." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 2180-2184.
APA Vinay L, & Liya Naiju. (2023). OBJECT DETECTION USING CNN. International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 2180-2184.
Chicago Vinay L, and Liya Naiju. "OBJECT DETECTION USING CNN." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 4 (2023) : 2180-2184.
Oxford Vinay L, and Liya Naiju. 'OBJECT DETECTION USING CNN', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, 2023, p. 2180-2184. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/OBJECT__DETECTION__USING_CNN_ijariie21346.pdf (Accessed : ).
Harvard Vinay L, and Liya Naiju. (2023) 'OBJECT DETECTION USING CNN', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 2180-2184IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/OBJECT__DETECTION__USING_CNN_ijariie21346.pdf (Accessed : )
IEEE 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, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/OBJECT__DETECTION__USING_CNN_ijariie21346.pdf [Accessed : ].
Turabian Vinay L, and Liya Naiju. "OBJECT DETECTION USING CNN." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 ().
Vancouver Vinay L, and Liya Naiju. OBJECT DETECTION USING CNN. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(4) : 2180-2184. Available from: https://ijariie.com/AdminUploadPdf/OBJECT__DETECTION__USING_CNN_ijariie21346.pdf
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