Work / Knowledge Management System for the Airport Authority of India

Knowledge Management System for the Airport Authority of India

AWS LambdaTextractS3BlockchainDocument Intelligence
Role
Builder
Timeline
May to Jul 2020
Team
Smart India Hackathon team
Stack
AWS Lambda · S3 · Textract · Boto3 · Blockchain
TL;DR · Airport licensing approvals at the Airport Authority of India ran on manual document review. We built a blockchain-backed web application with a serverless document-intelligence pipeline that extracts the key information automatically. It took us to the Smart India Hackathon 2020 Grand Finale, where we finished Runner-up among the top 5 finalist teams.

The problem

Airport licensing approval at the Airport Authority of India meant officials manually reading official documents to pull out the tables and key facts that drive the decision. Slow, repetitive, and error-prone: exactly the kind of bottleneck automation is for.

The approach

We built a web application for the approval workflow, backed by blockchain for tamper-resistant records. The document intelligence runs serverless: when a document lands in an S3 bucket, a Lambda function fires, uses AWS Textract to extract tables and key-value pairs, and pushes the structured information straight into the app's frontend for the approver.

The outcome

Selected for the Smart India Hackathon 2020 Grand Finale, organized by MHRD, Government of India, and finished Runner-up among the top 5 finalist teams.

Why it matters

This was my first taste of the full product loop: find a real institutional pain point, ship something working under a deadline, and defend it in front of judges. It's also the project that made document intelligence and serverless architecture feel like practical tools rather than buzzwords.

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