• Prof. Dr.B.T.Salokhe
• Mr. Prathamesh Krishnakant Khataki
• Mr. Shailesh Vitthal Khetal
• Mr. Avishkar Vikas

Struggles between people and animal cause big problem in farm and forest, leading to substantial resource losses and endangering human lives. People endure the loss of property, livestock, crops, and sometimes even their own lives. Consequently, consistent monitoring of these areas is imperative to prevent wild animal intrusions. To address this issue, we present a research paper proposing a technological solution. This technology utilizes cameras to capture images of trespassing animals, which are then identified using a machine learning algorithm. Specifically, our paper introduces a model employing a Convolutional Neural Network (CNN)-based algorithm for animal classification in images. Furthermore, it alerts users by sending them notification messages.

human-animal conflict, agricultural fields, forest areas, resources, property loss, livestock loss, crop damage, endangerment, monitoring, wild animal intrusions, technological solution, cameras, image capture, machine learning algorithm, Convolutional Neural Network (CNN), animal classification, notification messages.

"Design and Construction of Smart Animal Detector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.c837-c841, May-2025, Available :http://www.jetir.org/papers/JETIR2505314.pdf

"Design and Construction of Smart Animal Detector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppc837-c841, May-2025, Available at : http://www.jetir.org/papers/JETIR2505314.pdf