Pet Saver Application Using ML

References

[1] iaolu Zhang, Luyang Yang, Richard Sinnott, “A Mobile Application for Cat Detection and Breed Recognition Based on Deep Learning” - 2019 IEEE 1st International Workshop on Artificial Intelligence for Mobile (AI4Mobile), 24-24 Feb. 2019, Hangzhou, China.

[2] aoran Liu, Xiue Meng, “JSP-based Pet Adoption System” - 2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS), 14-15 Sept. 2019, Jishou, China.

[3] ys¸e Ceyda O¨ lmez, Enis Karaarslan, “Blockchain Based Trusted Adop-tion and Fostering System Proposal for Turkish Animal Shelters” - 2019 1st International Informatics and Software Engineering Conference (UBMYK), 6-7 Nov. 2019, Ankara, Turkey.

[4] s. Caroline El Fiorenza, Rayan Dutta, Rudrani Mishra, Sakshi Shukla, “Animal Welfare And Wellness Application Using Javascript” - 2018 International Research Journal of Engineering and Technology (IRJET), Volume:05 Issue:04, April 2018.

[5] . Santy, R. Karuna, Alvin Budiman, “E-dopt: A Mobile Application for Pet Adoption in Indonesia” - TELKOMNIKA, Vol.16, No.5, October 2018, pp. 2137 2143, corpusID: 69912955.

[6] . Redmon, S. Divvala, R. Girshick, and A. Farhadi, “You Only Look Once: Unified, Real- Time Object Detection,” Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2016.

[7] . He, X. Zhang, S. Ren, and J. Sun, “Deep Residual Learning for Image Recognition,” Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2016.

[8] . Krizhevsky, I. Sutskever, and G. E. Hinton, “ImageNet Classification with Deep Convolutional Neural Networks,” Advances in Neural Infor-mation Processing Systems (NIPS), 2012.

[9] . Choudhary and P. Jain, “Smart Animal Rescue System Using GPS and Mobile Application,” International Journal of Engineering Research Technology (IJERT), 2020.

[10] . Silic and A. Back, “Adoption of Mobile Applications: The Role of Trust and User Experience,” Telematics and Informatics, vol. 34, no. 3, 2017.

@article{1719033,
      author = {Ankita Yadav, Vaibhavi Wasre, Mayur Sarak, Vidya Mahesh Shinde},
      title = {Pet Saver Application Using ML},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {12},
      pages = {2114-2119},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1719033.pdf},
      abstract = {In recent years, due to awareness campaigns and rallies, there has been an unprecedented increase in the number of individual families adopting strays. While most of the families who are willing to have a pet choose to follow the “adopt don’t shop” policy, the most unappreciated strays to be adopted are cats. The focus of the adopters is more on dogs rather than cats. This rigid focus has resulted in numerous cat injury, abuse, and abandonment cases going unnoticed. To overcome this, we have developed an application prototype that serves as a platform where a rescuer and a foster can connect. It aims to help a rescuer to post details of an injured cat on the application so that the nearest foster care can connect with the rescuer and foster the cat. In addition, it also aims to promote the adoption of community cats.},
      keywords = {Pet Adoption, Cat foster, Prototype, UX, Interface, Proto.io, Stray Cats},
      month = {June},
      doi = {https://doi.org/10.64388/IREV9I12-1719033}
  }