AWS-Based Employee Data Extraction
Budget: £250 – £750 GBP
We are looking to extract data from multi-page documents using AWS Textract and AWS Bedrock/Sage Maker.
The document contains details for multiple employees e.g. company name, their IDs, Partial Name (First Name Intial and Last Name) and activity figures under different sections. Below is an example of what it contains.
We need to extract each employee and match them with a set of valid employees in our database/dataset based on their company name, ID and partial names and then club them together to create a data extract with relevant details for each employee.
Key Requirements:
- Extract employee information from activity statement
- Find/match with valid employees in our database - human intervention/notification for no match
- Extract activity elements under each header for each employee
- Ability to create and train model for better accuracy
- Deploy/Provision service to submit documents for processing and then fecthing extraction results
Ideal Skills:
- Proficiency in AI/ML, data modeling and extraction
- Proficiency in AWS Texttract.
- Proficiency in AWS Bedrock/SageMaker.
- Knowledge in deploying models for inference
- Knowledge in creating and training models for better accuracy
********** EXAMPLE PDF CONTENTS **********
Company Name: Acme Demo Ltd
Activity Period: 01/01/2023 - 01/31/2023
Statutory Deductions
Statutory Levy
123422 J DOE £64.26
633435 A SMITH £34.85
254646 T ROGER-THOMAS £45.27
Net Pensionable Earnings
123422 J DOE £238.90
633435 A SMITH £294.57
254646 T ROGER-THOMAS £343.32
Superannuation Contribution
123422 J DOE @ 5.20% £2138.90
633435 A SMITH @ 9.80% £2914.57
254646 T ROGER-THOMAS @ 5.20% £3343.32
Units of Hours Activity per Employee
123422 J DOE
Current Financial Year 2024/25 34.42
Last Financial Year 2023/24 20.34
Other Financial Years 0.00
633435 A SMITH
Current Financial Year 2024/25 44.53
Last Financial Year 2023/24 0.00
Other Financial Years 0.00
254646 T ROGER-THOMAS
Current Financial Year 2024/25 32.36
Last Financial Year 2023/24 0.00
Other Financial Years 0.00
The document contains details for multiple employees e.g. company name, their IDs, Partial Name (First Name Intial and Last Name) and activity figures under different sections. Below is an example of what it contains.
We need to extract each employee and match them with a set of valid employees in our database/dataset based on their company name, ID and partial names and then club them together to create a data extract with relevant details for each employee.
Key Requirements:
- Extract employee information from activity statement
- Find/match with valid employees in our database - human intervention/notification for no match
- Extract activity elements under each header for each employee
- Ability to create and train model for better accuracy
- Deploy/Provision service to submit documents for processing and then fecthing extraction results
Ideal Skills:
- Proficiency in AI/ML, data modeling and extraction
- Proficiency in AWS Texttract.
- Proficiency in AWS Bedrock/SageMaker.
- Knowledge in deploying models for inference
- Knowledge in creating and training models for better accuracy
********** EXAMPLE PDF CONTENTS **********
Company Name: Acme Demo Ltd
Activity Period: 01/01/2023 - 01/31/2023
Statutory Deductions
Statutory Levy
123422 J DOE £64.26
633435 A SMITH £34.85
254646 T ROGER-THOMAS £45.27
Net Pensionable Earnings
123422 J DOE £238.90
633435 A SMITH £294.57
254646 T ROGER-THOMAS £343.32
Superannuation Contribution
123422 J DOE @ 5.20% £2138.90
633435 A SMITH @ 9.80% £2914.57
254646 T ROGER-THOMAS @ 5.20% £3343.32
Units of Hours Activity per Employee
123422 J DOE
Current Financial Year 2024/25 34.42
Last Financial Year 2023/24 20.34
Other Financial Years 0.00
633435 A SMITH
Current Financial Year 2024/25 44.53
Last Financial Year 2023/24 0.00
Other Financial Years 0.00
254646 T ROGER-THOMAS
Current Financial Year 2024/25 32.36
Last Financial Year 2023/24 0.00
Other Financial Years 0.00
Related categories:
Machine Learning (ML)
Amazon Web Services
Artificial Intelligence
AWS SageMaker
AWS Textract