Hi, I’m Lingraj Shivakumar, and this is my UiPath Project Portfolio. These are all the automations I built as a part of the “Complete UiPath RPA Developer Course”, a 30 hour online course instructed by Leon Petrou.

Below are the details of the robots I built as a part of the course’s curriculum along with the technical skills gained by building these robots. I also learnt how to deploy these automations with UiPath Orchestrator, for running attended and unattended automations in a production environment.

The 7 robots built throughout this course progress from Beginner to Advanced . The course starts with a simple rules-based RPA workflow, and then progresses to building robust RPA workflows using the REFramework template and Orchestrator Queues. I then continue to build sophisticated web and PDF scrapers, AI agents, LLM API integrations, and human-in-the-loop automations.

This ability to orchestrate RPA, AI and people to work together is a skill that can add value to any organization seeking to automate their business processes.

Below are the 7 robots I built, the skills I gained and my recommendations for turning each learning project into a production-ready automation.

Robot 1: Clothing Consultant

Beginner    

Description

This was my first robot built with UiPath Studio, it’s a simple automation that asks the user to input their city name, then it searches Google for the weather and temperature in that city the next day, and suggests an outfit suggestion based on the scraped results.

Demo Video

This is a demonstration of the clothing consultant robot running, triggered from UiPath Studio.

https://vimeo.com/1145606119/b2c5fa7be0?share=copy&fl=sv&fe=ci

My UiPath Project Folder

Skills gained

• Created a new UiPath process in Studio and understood the default project structure.
• Configured Input Dialog activities to collect the user’s city name.
• Used multiple-choice options in dialogs to present simple user selections.
• Installed and worked with the UiPath browser extension for Microsoft Edge.
• Concatenated strings and variables to build Google weather search queries.
• Scraped weather and temperature information from a web page using Get Text.
• Designed the decision logic with Flowchart and Flow Decision activities based on temperature ranges.
• Applied string functions like ‘ToLower’ and ‘Or’ conditions to normalise and compare user input.