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aws-ecr

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The NLP Hub consists of multiple NLP services, each providing specific functionality, such as sentiment analysis, named entity recognition, grammar & spell check, and text summarization. The system is designed to handle a high volume of text data.

  • Updated Apr 11, 2023
  • Python

A cloud-native data pipeline and visualization dashboard for FDA drug approvals, using AWS Lambda (containerized), EventBridge, and S3 for automated data updates. Built a Python scraper processing over 1,770 records and developed a Dash app with real-time KPIs, charts, and tables. Deployed the dashboard on AWS AppRunner with CI/CD pipelines.

  • Updated Aug 2, 2025
  • Python

This project demonstrates an event-driven architecture for parallel web scraping and processing tasks using AWS services. The scraper job, running on AWS Batch, collects data from multiple web pages simultaneously and stores it in S3. The processing job, triggered by AWS EventBridge, efficiently processes the scraped data and updates Google-Sheet.

  • Updated Apr 15, 2024
  • Python

The Document Question and Answering RAG Application is designed to provide intelligent and accurate responses to questions based on the content of uploaded documents. By combining state-of-the-art machine learning models and cloud technologies, this application offers a seamless and scalable

  • Updated May 17, 2024
  • Python

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