Pest Detection Mobile Application

Developed the ‘Pest Detection’ mobile app that takes the photo of a pest, processes it through AI model and detects a class of the pest, achieving 70% result accuracy.

Integrated EfficientNetB0 model with Django Backend and React Native frontend using REST framework and Axios API.

Conducted testing and quality measures of the application using Postman and Selenium to ensure security, scalability, and reliability.

Practiced Agile methodology with version control on GitHub and project management on JIRA.