Sri Lankan Venomous animal species identification and Recommend Emergency Treatments. (Venom)

Abstract

"This research project aims to develop a Venomous Animal Identification System to accurately identify venomous animals in Sri Lanka using object detection technology. Due to the lack of data set availability, the author has decided to continue the project with identifying 10 snake species. The project follows a three-tier architecture that includes presentation, logic, and data tiers. The presentation tier comprises the user interface, while the logic tier contains the functionalities that should be performed when an image is uploaded by the user. The data tier stores all the data required to perform CRUD operations by the logical tier. The approaches used include transfer learning with ResNet50, data augmentation, and classification with CNN."