Book Image

Robotic Process Automation Projects

By : Nandan Mullakara, Arun Kumar Asokan
Book Image

Robotic Process Automation Projects

By: Nandan Mullakara, Arun Kumar Asokan

Overview of this book

Robotic Process automation helps businesses to automate monotonous tasks that can be performed by machines. This project-based guide will help you progress through easy to more advanced RPA projects. You’ll learn the principles of RPA and how to architect solutions to meet the demands of business automation, along with exploring the most popular RPA tools - UiPath and Automation Anywhere. In the first part, you’ll learn how to use UiPath by building a simple helpdesk ticket system. You’ll then automate CRM systems by integrating Excel data with UiPath. After this, the book will guide you through building an AI-based social media moderator using Google Cloud Vision API. In the second part, you’ll learn about Automation Anywhere's latest Cloud RPA platform (A2019) by creating projects such as an automated ERP administration system, an AI bot for order and invoice processing, and an automated emergency notification system for employees. Later, you’ll get hands-on with advanced RPA tasks such as invoking APIs, before covering complex concepts such as Artificial Intelligence (AI) and machine learning in automation to take your understanding of RPA to the next level. By the end of the book, you’ll have a solid foundation in RPA with experience in building real-world projects.
Table of Contents (14 chapters)

Project overview

In this project, we will use the image recognition cloud service (SafeSearch in the Google Cloud Vision API) to detect whether any images being uploaded to a website contains any explicit content. 

The administrators of social media sites have scripts running, as per a pre-defined schedule, to check any new images that are uploaded. If there are new uploads, the script copies those images to another folder for the bot to process. The administrator does not want the bot to be working directly on the social media website folder. 

Once the bot detects that new files have been uploaded, it reads each file and creates an Excel log to pass to the administrator. It then loops through all the image entries in the spreadsheet and invokes SafeSearch in the Google Cloud Vision API to check the images. The API returns an output that indicates whether the image contains adult, medical, violent, or racy content. We add this output to Excel and send this to the administrator...