Extracting Handwritten Data From Notes To Update Databanks

Extracting Handwritten Data From Notes To Update Databanks

Use Case Description

The automation is built for the education sector to be used by teachers/ professors etc. Along with the Covid-19 pandemic, the tutors are required to cover a lot of handwritten notes and convert them to computer-generated word files. The generated word files are then sent to a data bank that allows users to refer in the future.

The purpose of automation is to improve the process by increasing efficiency by digitizing documents in bulk. The automation built benefits Education, Legal, and Finance sector.

The process reduces a lot of redundant work, and users are only involved to fix the typos at the end and review the extracted data.

One of the challenges we faced is figuring out how to use Autocorrect and Bag of Words in a Bot context.

AS-IS WORKFLOW, TO-BE WORKFLOW

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Other information about the use case

Industry categories for this use case: Customer Service, Finance, HR, Legal

Skill level required: Intermediate

UiPath Products that were used: UiPath Studio

Other applications that were used: Google Vision

Other resources: https://www.kartikaydhar.online/post/handwriting-recognition-bot-uipath-ai

What is the top ROI driver for this use case?: Accelerate growth and operational efficiency