1. Context

This project was developed as part of TECH3300 Machine Learning Applications. It focuses on designing and evaluating a CNN-based system for classifying 14 fruit categories from image data.

🔗 Implementation

• 💻 GitHub Repository: https://github.com/whalez82/cnn-fruit-classification

2. Dataset

3. Preprocessing

4. Model Architecture (CNN)

5. System Limitations and Future Development Direction

✅ Implementation Reference

The full implementation, including model construction, hyperparameter tuning, and evaluation scripts, is available here:

👉 https://github.com/whalez82/cnn-fruit-classification