• Mr. S Ramesh Krishna
• Dr. Shashidhar Kini K

The Fruit Image Classification project utilizes deep learning techniques, specifically Convolutional Neural Networks (CNNs), to accurately identify fruits from images and provide their nutritional information. The model is trained on a diverse and augmented fruit dataset to ensure high classification accuracy under varied conditions. Real-time deployment is supported via an interactive web interface and an integrated nutritional API. This system demonstrates practical applications in health monitoring, agriculture, and food technology.

Fruit Classification, Machine Learning, CNN, Image Processing, Transfer Learning, Nutrition API

"FRUIT IMAGE CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.1044-1047, July-2025, Available :http://www.jetir.org/papers/JETIRGX06196.pdf

"FRUIT IMAGE CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp1044-1047, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06196.pdf