Efficient web based automated poultry disease detection using transfer learning models

The main objectives of this project are to develop an efficient web-based system for automated poultry disease detection using transfer learning models. It leverages pre-trained deep learning networks to identify visible symptoms from uploaded images with high accuracy. This solution supports early diagnosis, reduces manual effort, and promotes timely intervention in poultry farming..