Fruit Freshness Classification using Deep Learning

Fruit Freshness Classification using Deep Learning — built for academic submission

A computer vision project implementing fruit freshness classification using deep learning, using a CNN trained and evaluated on a labeled image dataset with a simple web demo for live predictions.

What's included

• Project report and viva preparation notes
• CNN model trained on a labeled image dataset
• Image upload and instant prediction interface
• Accuracy, confusion matrix and training curves included
• Well-documented training notebook

Tech stack