AI-Powered Android Application for Fruit and Vegetable Quality Detection

Authors

  • Devika C S IES college of engineering Author
  • Roshni Nayankara IES College of Engineering Author
  • Joyna Jose IES College of Engineering Author
  • Teena Vinod IES College of Engineering Author
  • Remya P C Author

Keywords:

Deep Learning, EfficientNetB5, TensorFlow Lite, Fruit Quality Detection, Image Classification, AI in Agriculture

Abstract

The proposed project introduces a mobile app that helps people check the quality of fruits (like apples, bananas, and oranges) using artificial intelligence. The app works on Android phones and uses a powerful deep learning model called EfficientNetB5.  It looks at pictures of fruits and tells whether they are “Good”, “Bad”, or “Mixed” (a mix of both good and bad signs). Users can take a photo or upload one in the app, and it will quickly check the fruit’s freshness. This is useful for both customers and shopkeepers. It helps people choose better fruits and avoid waste. For shops and food companies, the app offers a cheap and smart way to sort out bad fruits, and even allows robotic help in the future. This app shows how smart technology can make daily life easier, help the environment by reducing food waste, and support better decisions when buying or selling fruits and vegetables.

Downloads

Published

2026-02-05

How to Cite

AI-Powered Android Application for Fruit and Vegetable Quality Detection. (2026). IES International Journal of Multidisciplinary Engineering Research, 2(1), 100-105. https://www.iescepublication.com/index.php/iesijmer/article/view/103