A Machine Learning Approach to Identifying StrayDogs

Abstract

The goal of "A Machine Learning Approach to Identifying Stray Dogs" is to create a comprehensive system that uses deep learning techniques to detect stray dogs, evaluate their health, and handle user complaints through the intervention ofnon-governmental organizations. The system has a user interface where users can upload pictures of stray dogs for breedidentification by registering or logging in. Once the breed has been identified, the user can examine the dog's health. The usercan submit a request for help to NGOs if the dog is ill. Additionally, the user can ask NGOs to intervene if the dog displaysharmful behavior. NGOs can log in and view user complaints and the reported dogs' conditions using the NGOs section.NGOs can then respond to the complaints with suitable remedies.

Authors and Affiliations

K. Gopala Reddy , A. Sree Lakshmi, S. Pavani, M. J. V. N. S Santhosh Kumar, P. Sarath Chandu

Keywords

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  • EP ID EP747882
  • DOI https://doi.org/10.46501/IJMTST1009003
  • Views 2
  • Downloads 0

How To Cite

K. Gopala Reddy, A. Sree Lakshmi, S. Pavani, M. J. V. N. S Santhosh Kumar, P. Sarath Chandu (2024). A Machine Learning Approach to Identifying StrayDogs. International Journal for Modern Trends in Science and Technology, 10(9), -. https://europub.co.uk/articles/-A-747882