• Dr V Saravanan
• Elakkiya MK
• Sharan MV
• arthikeyan
• Guruprasath G

A naturalist explores different species of flora and wildlife as well as the patterns found in nature. This study intends to develop a web application that aids naturalists' research of numerous species using deep learning and artificial intelligence, hence the term "Digital Naturalist." Convolution Neural Networks (CNNs) are a type of deep learning technique used for processing pixel data and image recognition. Python is another language used by the programme to carry out this categorization. Our programme is special since it makes use of the highly trained neural network "AlexNet." This website app assists in both species research and ecological preservation by saving endangered species. Additionally, the application can handle a load of more than 1000 users at a time.

Real-time image processing, Deep learning, Artificial Intelligence.

"DIGITAL NATURALIST USING HYBRID LEARNING MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.40-46, June-2023, Available :http://www.jetir.org/papers/JETIRFZ06007.pdf

"DIGITAL NATURALIST USING HYBRID LEARNING MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. pp40-46, June-2023, Available at : http://www.jetir.org/papers/JETIRFZ06007.pdf