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Title: :  Wildlife Exploration App
PaperId: :  26643
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26643
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
K Sasi Kala RaniAlliance University
Navya Sree BAlliance University
Vannarapu DeepakAlliance University
Sri Surya RAlliance University
PyadindiAlliance University

Abstract

Computer Engineering
YOLOv5 YAML pywhatkit
This initiative addresses the pressing need for monitoring wildlife in real-time within border regions of jungle areas and forest reserves to mitigate potential human-wildlife interactions and enhance conservation efforts. A Python-based system has been developed that integrates computer vision and instant messaging technologies for the autonomous identification of animals and notification. The core of the system utilizes the pre-trained YOLOv5 object detection model, which has been trained on an extensive dataset, to identify specific animal species within its viewing area. To optimize detection for its particular use case, the model's confidence threshold has been adjusted to 10%, thus enhancing its sensitivity. The system is designed to identify a specified set of animal classes relevant to the unique ecological context, as articulated in a YAML configuration file, allowing for adaptability across different geographical locations and conservation goals. A regular laptop camera captures live video, and the YOLOv5 model processes each frame to identify objects. The initial detection results are refined using a custom filtering function (filter_animals) to locate the specified animal categories. Upon identifying a target animal, the system promptly sends an alert via WhatsApp, employing the pywhatkit library to deliver a message to a designated recipient, such as village officials or forest rangers. This alert message specifies the type of animal that was detected. Additionally, the system provides visual feedback by showing bounding boxes around the identified animals on the video stream, which is presented in real-time using cv2.

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IJARIIE K Sasi Kala Rani, Navya Sree B, Vannarapu Deepak, Sri Surya R, and Pyadindi. "Wildlife Exploration App" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 1659-1669
MLA K Sasi Kala Rani, Navya Sree B, Vannarapu Deepak, Sri Surya R, and Pyadindi. "Wildlife Exploration App." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 1659-1669.
APA K Sasi Kala Rani, Navya Sree B, Vannarapu Deepak, Sri Surya R, & Pyadindi. (2025). Wildlife Exploration App. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 1659-1669.
Chicago K Sasi Kala Rani, Navya Sree B, Vannarapu Deepak, Sri Surya R, and Pyadindi. "Wildlife Exploration App." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 1659-1669.
Oxford K Sasi Kala Rani, Navya Sree B, Vannarapu Deepak, Sri Surya R, and Pyadindi. 'Wildlife Exploration App', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 1659-1669. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Wildlife_Exploration_App_ijariie26643.pdf (Accessed : ).
Harvard K Sasi Kala Rani, Navya Sree B, Vannarapu Deepak, Sri Surya R, and Pyadindi. (2025) 'Wildlife Exploration App', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 1659-1669IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Wildlife_Exploration_App_ijariie26643.pdf (Accessed : )
IEEE K Sasi Kala Rani, Navya Sree B, Vannarapu Deepak, Sri Surya R, and Pyadindi, "Wildlife Exploration App," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 1659-1669, May-Jun 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/Wildlife_Exploration_App_ijariie26643.pdf [Accessed : ].
Turabian K Sasi Kala Rani, Navya Sree B, Vannarapu Deepak, Sri Surya R, and Pyadindi. "Wildlife Exploration App." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver K Sasi Kala Rani, Navya Sree B, Vannarapu Deepak, Sri Surya R, and Pyadindi. Wildlife Exploration App. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 1659-1669. Available from: http://ijariie.com/AdminUploadPdf/Wildlife_Exploration_App_ijariie26643.pdf
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