Frezz is an artificial intelligence project for detecting the freshness of certain fruits, such as apples, oranges, and bananas, using deep learning techniques. This project was created as a group project for the Artificial Intelligence course.
This repository contains the source code and final presentation in PDF format.
Solution
Frezz uses deep learning techniques to analyze the images of the fruits and determine their freshness level. The project includes a dataset of images of fresh and non-fresh fruits, which was used to train a convolutional neural network (CNN) model. The trained model is then used to predict the freshness of fruits from input images.
Dataset
The dataset used to train the CNN model in Frezz was sourced from Kaggle. The dataset includes images of fresh and non-fresh fruits, specifically apples, oranges, and bananas.
Contributors
This project was completed as a group project for the Artificial Intelligence course. The contributors are:
- Shafa Amira
- Alyza Pramudya
- Dierta Pasific
- Jacqueline Abyasa