Case Study

Building an AI/ML Solution on AWS for Automated OCR Document Extraction with Over 90% Accuracy

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Industry 

EdTech

Expertise 

Amazon VPC, Amazon S3, AWS Lambda, Amazon QuickSight, AWS IAM, Power BI

Offerings/solutions 

Migrated dashboards to Amazon QuickSight with automated user management and row-level security.

About the Client

NAVNEET TOPTECH is a rapidly growing digital education company in India, offering innovative eLearning solutions for schools and students. They aim to enrich teaching and learning by integrating technology to create an engaging, effective educational experience beyond traditional methods.

Highlights

90%

Accuracy in Data Extraction

Autonomous Pipeline

Efficient pipeline on AWS

Improvement in User Productivity

Optimizing workflows and streamlining document processing

The Challenge

The customer had a problem with their current setup. The primary issue was that Power BI required each user to have an individual subscription to access the dashboards. This limitation restricted external users from accessing the dashboards with different email IDs and created inefficiencies in managing user subscriptions. Additionally, the need for subscription management and user access control was cumbersome and did not scale well.

Solutions

• Established Amazon VPC peering for secure cross-account data access between Amazon RDS and Amazon QuickSight.
• Set up Amazon VPC connectivity between Amazon RDS and Amazon QuickSight.
• Developed interactive dashboards in Amazon QuickSight with daily refresh schedules.
• Automated user creation and deletion in Amazon QuickSight using AWS Lambda and Amazon S3.
• Automated row-level security for users’ access to Amazon QuickSight.

The Results

Implemented an AI/ML solution on AWS with over 90% accuracy in OCR, streamlining data extraction and structuring to boost user productivity.

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