2022 Solution Challenge Repository for Team DALGONA
-
Updated
Nov 26, 2022 - Dart
2022 Solution Challenge Repository for Team DALGONA
A Flask-based web app to manage products and vendors, generate shopping lists, and suggest the lowest-price vendors. Built with Bootstrap, SQLite3, and GCP, featuring Cloud SQL integration, and deployed on a Google Cloud VM with Uptime Check and Log Explorer for monitoring.
The classification problem statement to identify whether registered complaint will be disputed by the customer or not.
Developed an interactive dashboard utilizing Google Looker Studio to analyze Uber usage patterns in NYC. Designed a robust data model and implemented an efficient data pipeline using Mage AI on GCP's VM infrastructure. Utilized Google BigQuery for in-depth analytics and leveraged Google Cloud Platform for data processing.
An MLOps implementation to build and deploy an ML-model assessing the efficiency of a manufacturing machine using jenkins (CI), argoCD (CD), gitOps with webHooks for automatic push of code and GCP virtual machine (VM) as remote server.
Add a description, image, and links to the gcp-vm topic page so that developers can more easily learn about it.
To associate your repository with the gcp-vm topic, visit your repo's landing page and select "manage topics."