Embedded Files
Objective: Helps users determine the ripeness level of fruit.
Objective: Helps users determine the ripeness level of fruit.
This application leverages Google Cloud Platform (GCP) to assess food ripeness. The app utilizes a custom image recognition model trained on Vertex AI to analyze user-uploaded food images. By integrating with Cloud Functions, the app delivers real-time feedback, classifying the food as ripe, underripe, partially ripe, or overripe.
This application leverages Google Cloud Platform (GCP) to assess food ripeness. The app utilizes a custom image recognition model trained on Vertex AI to analyze user-uploaded food images. By integrating with Cloud Functions, the app delivers real-time feedback, classifying the food as ripe, underripe, partially ripe, or overripe.
To further streamline model training, I also developed a custom Google Apps Script that automates image label management. This script extracts folder names as labels, creates a consolidated sheet associating image names with corresponding labels, and exports the data as a CSV file for training purposes.
To further streamline model training, I also developed a custom Google Apps Script that automates image label management. This script extracts folder names as labels, creates a consolidated sheet associating image names with corresponding labels, and exports the data as a CSV file for training purposes.
Page updated
Google Sites
Report abuse