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  Published Paper Details:

  Paper Title

AI-POWERED WILDLIFE CONSERVATION SYSTEM

  Authors

  Sathya Sheela D,  Saniya S,  Srinidhi RY,  Umesh L,  Vivin Vaibhav

  Keywords

Artificial Intelligence (AI), Wildlife Conservation, Animal Identification, Endangered Species Protection, Rescue and Rehabilitation, Conservation Technology, Smart Conservation System, Google Map API, Image Recognition, Environmental Sustainability

  Abstract


Artificial intelligence (AI) is playing a critical role in wildlife conservation by enabling species monitoring, poaching prevention, and habitat restoration efforts [1] . Due to habitat loss, poaching, and climate change, wildlife conservation is a major concern. Habitat assessment and resource conservation involve AI-powered image analysis, which aids in assessing forest health, detecting deforestation, and identifying areas in need of restoration [2] . The AI-Powered Wildlife Conservation System improves animal conservation and monitoring by utilizing artificial intelligence. With the help of sophisticated image recognition algorithms, users can submit photos or scan animals in real time. Additionally, it offers vital conservation status data, showing, based on international databases, if an animal is vulnerable or endangered. The technology also uses the Google Maps API to find local physicians and animal rescue facilities, guaranteeing prompt assistance for wildlife that is hurt or in danger. This project intends to assist wildlife researchers, conservationists, and the general public in preserving biodiversity by fusing AI with geolocation services.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTBE02077

  Paper ID - 289424

  Page Number(s) - 563-568

  Pubished in - Volume 13 | Issue 7 | July 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sathya Sheela D,  Saniya S,  Srinidhi RY,  Umesh L,  Vivin Vaibhav,   "AI-POWERED WILDLIFE CONSERVATION SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 7, pp.563-568, July 2025, Available at :http://www.ijcrt.org/papers/IJCRTBE02077.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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