Case Study

Ensured 95-98% Accuracy and Relevance in AI-Generated Questions and Answers for JEE/NEET Preparation

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Industry 

EdTech

Expertise 

AWS IAM, AWS Lambda, Amazon CloudWatch, Amazon Bedrock, AWS CloudTrail

Offerings/solutions 

AI-driven, unique questions aligned with the syllabus, efficiently managed with Amazon DynamoDB.

About the Client

BeMasterly is developed by Navneet FutureTech Limited—a subsidiary of Navneet Education with over sixty years of experience in educating millions of Indians—aims to streamline and enhance tutoring. Leveraging its deep understanding of professional tutoring needs, BeMasterly is a digital platform designed to support independent tutors and coaching institutes.

Highlights

40-50%

Reduction in Content Generation Time

95-98%

AI-Generated Questions Accuracy

Scalable and Efficient Storage

Amazon DynamoDB

The Challenge

The client wanted to generate contextual questions and answers for JEE/NEET using GenAI and build/expand the question banks/repository. They also wanted to validate that the generated questions were relevant to the topics and provide accurate and relevant content. Lastly, they wanted to ensure that all the AI-generated questions are unique in nature.

Solutions

• Established an Amazon S3 bucket for secure and scalable PDF data storage.
• Used OCR technology with Mathpix to extract and capture text, formulas, and equations from PDFs.
• Utilized Amazon SageMaker to organize and filter chapters by topic.
• Deployed AWS Lambda via Amazon API Gateway for handling requests, data retrieval, and Q&A generation.
• Generated questions using Lambda functions, ensuring a focused output.
• Leveraged AWS Lambda and Amazon Bedrock models for relevant Q&A generation.
• Ensured high-quality, educationally relevant questions with a focus on uniqueness.
• Implemented semantic similarity evaluation and deployed the Sentence-Transformer model on EC2 for question comparison.

The Results

Streamlined content creation with a 40-50% reduction in time, delivered highly accurate AI-generated JEE/NEET questions, and utilized Amazon DynamoDB for scalable metadata storage.

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