![]() ![]() Upload objects to Google Cloud Storage (no coding required).Build customized reporting tools with the Sheets API (JS/Node).Using Cloud Vision with Python (Python).Google Drive (Using the Google Workspace APIs) intro (Python).If time allows for you to become familiar with them separately first, you're welcome to do codelabs for each before tackling the exercise here: Having experience with the four Google Cloud products listed above would be helpful but not required. Basic skills in Python (2 or 3), but you can use any supported language.Familiarity with operating system terminal/shell commands.A Google Cloud project with an active Google Cloud billing account.A Google account (Google Workspace accounts may require administrator approval).How to upload objects/blobs to Cloud Storage.How to download files from Google Drive.How to install the Google APIs client library for Python.Finally, a Google Sheets spreadsheet is a useful visualization tool for summarizing all of this for your boss.Īfter completing this codelab to build a solution that leverages all of Google Cloud, we hope you'll be inspired to build something even more impactful for your organization or your customers'. Google Cloud Vision allows developers to easily integrate vision detection features within applications, including object and landmark detection, optical character recognition (OCR), etc. It makes sense to back those up to "colder," cheaper storage, such as the storage classes available from Google Cloud Storage. In our scenario, the business user will have images on Google Drive. Google Cloud provides the tools to make this happen, utilizing APIs from two of its product lines, Google Workspace (previously, G Suite or Google Apps) and Google Cloud (previously, GCP). You want to archive that data, analyze those images, and most importantly, generate a report summarizing the archived locations plus the results of the analysis, collated and ready for consumption by management. Imagine your organization having a series of images taking up space on a constrained resource. This codelab imagines a possible enterprise workflow: image archiving, analysis, and report generation. ![]()
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