Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM13323
Volume:
6 |
5 |
May 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The practical problems in the day to day lives of the people with pets are often ignored in the emerging era of technology, the use of technology is being limited to focus on the ease of us, people. Magazines, articles containing information about pets get published but none focus on addressing the practical problems. In the practical scenario, people face issues like finding other pet owners to get a pal for theirs, finding a nearby vet, locating pharmacies or shops to get various stuff for their pets. This research paper involves the use of technology for the development of an application- Paww’s, a mobile application which will run on both android and iOS, will help people find solutions to the above problems in a click. The application will help them find other pet owners in their vicinity using the ‘near me’ function.They will be able to connect directly with a vet, chat and discuss about the ailment of their pet. Not all pharmacies are authorized to keep the medicines fit for consumption by animals, only a few of them are authorized and hence it is difficult for people to look out for such pharmacies. Therefore such pharmacies will be listed on the application and it will help the users to find the relevant medicines for their pets and the specific shops which offer accessories and other things related to the pets will be listed as well, for people to directly contact them and order or can visit the shop themselves. And for people who are unaware of their dog’s breed, Paww’s presents a way out by incorporating Deep Learning in the project and providing a feature wherein the user shall have to point the camera to his/her pet and the software will identify the breed for them.
KEYWORDS
Publication Date
5/17/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
1
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...