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Day 04: Integrating AI in Your Website

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In this theory session, we will be going through the application of AI. We will learn:

  • Storage options on Google Cloud
  • Vision API on Google Cloud
  • JSON Object

Some details about the event can be found in the Event Page. Below are some of the useful links that are relevant to the theory today.


Hands-On: Extracting Receipt Data

This manual is written by Lim Hui Ern and Vanessa Jing Taing, edited by by Lim Jun Yi.

In the workshop today, we will create a Receipt Data Extractor.

You can alternatively refer to and follow along at your own pace.

Step 01: Download Relevant Files

Download the sample receipts and Python code from this repo. To download it, click on the green "Code" button and click "Download ZIP", or you can:

# Only if you have Git installed
git clone https://github.com/GCPE2023/GCPE-ReceiptExtractor.git

Step 02: Uploading Receipts to Google Drive

- Developing in progress ...

Step 03: Creating Cloud Bucket

- Developing in progress ...

Step 04: Enabling Relevant APIs

- Developing in progress ...

Step 05: Authorizing APIs

- Developing in progress ...

or alternatively, you could use the gcloud command in the Cloud Shell with the following command:

gcloud services enable drive.googleapis.com vision.googleapis.com sheets.googleapis.com

Step 06: Creating a new Google Sheets

- Developing in progress ...

Step 07: Coding on Cloud Shell Editor

- Developing in progress ...
python3 receipt-extractor.py --noauth_local_webserver

Step 08: Clean Up

- Developing in progress ...

Complete!

You have successfully extracted your receipt data in batches!

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