Garbage Classifier using CNN & Transfer Learning

• Developed an intelligent image classification model to categorize waste into 10 distinct classes using Convolutional

Neural Networks (CNN) and Transfer Learning.

• Utilized ImageNet dataset for pre-training and fine-tuned the model on custom waste image datasets.

• Designed a robust classification system capable of accurately predicting unseen images.

• Technologies used: Python, TensorFlow/Keras, CNN, Transfer Learning, Deep Learning.

• Achieved Excellent grade in the Deep Learning course.