TNEA 2023 Admission Data Automation

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TNEA 2023 Admission Data Automation

Use Case Description

Objective: To automate the process of capturing and consolidating data for students selected for colleges and branches as published by Anna University for TNEA 2023, distinguishing between reported and not reported admissions.
Preconditions:
• Anna University publishes the selected student data on a specific webpage.
• The data on the webpage contains a combination of the candidate’s name and application number.
• The webpage provides a downloadable .zip file for each candidate.
• The user has access to an Excel file with application numbers.
• UiPath Studio is installed and licensed.
• UiPath Orchestrator is set up and available for use.

Basic Flow:

  1. Setup:
    • Initialize the UiPath Robot Environment.
    • Set up the Queue in the UiPath Orchestrator for processing application numbers.
  2. Read Application Numbers from Excel:
    • Use ‘Read Range’ activity to extract the list of application numbers from the provided Excel file.
  3. Process Each Application Number:
    • For each application number in the Excel file, do the following:
    • Use ‘Add Queue Item’ activity to add the application number to the Orchestrator Queue.
  4. Retrieve and Process Data from Website:
    • For each Queue Item (Application Number) in the Orchestrator, perform the following tasks:
    • Navigate to the Anna University webpage using ‘Open Browser’ activity.
    • Use ‘Get Text’, ‘Find Element’, or ‘Data Scraping’ activities to extract the candidate name and application number combination.
    • Split the extracted string to separate the application number and the candidate name.
    • Match the application number with the corresponding Queue Item.
    • Download the .zip file associated with the application number using ‘Click’ activity or HTTP request.
  5. Extract and Process .zip File:
    • Use ‘Invoke Method’ activity to extract the contents of the .zip file.
    • Retrieve the .txt file from the extracted folder.
  6. Read and Process .txt File:
    • Use ‘Read Text File’ activity to read the data from the .txt file.
    • Extract all necessary information required to be filled in the Excel file.
  7. Update Excel File:
    • Use ‘Write Range’ or ‘Write Cell’ activities to input the data into the corresponding fields in the Excel file.
    • Add the status (Reported/Not Reported) for each student in the Excel file.
  8. Exception Handling:
    • Implement Try-Catch blocks for each activity to catch any exceptions.
    • Log meaningful error messages in case of exceptions.
    • Set up proper retry mechanisms in case of web page load failures or data extraction issues.
  9. Cleanup:
    • Remove any temporary files created during the process.
    • Close all applications and web browsers used during the process.
    Alternate Flows:
    • If the webpage format changes, adapt the selectors and data extraction logic accordingly.
    • If the .zip file is corrupted or not available, log an exception and move to the next Queue Item.

Website URL:

https://www.rajalakshmicolleges.net/hackoverflow/tnea/

Input File:

https://www.rajalakshmicolleges.net/hackoverflow/tnea/Input.xlsx

AS-IS WORKFLOW, TO-BE WORKFLOW

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Other information about the use case

Industry categories for this use case: Universities Academy

Skill level required: Advanced

UiPath Products that were used: UiPath Studio, UiPath Orchestrator

Other applications that were used: Excel, Winzip / Winrar

Other resources: -

What is the top ROI driver for this use case?: Other

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