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The Model recognizes the X-Ray Image and categorize/predict into a Normal Condition X-Ray Image or a Potential Pneumonia Condition X-Ray Image to reduce the spreading of infamous Pneumonia disease, especially in the times of COVID-19. All chest X-ray imaging during data gathering was performed as part of patients’ routine clinical care. For the analysis of chest x-ray images, all chest radiographs were initially screened for quality control by removing all low quality or unreadable scans by Guangzhou Women and Children’s Medical Center, Guangzhou.

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x-ray-image-processing-pneumonia-prediction-model's Introduction

Hi 👋, I'm Nihal Gajbhiye

Software Engineer for Postive Impact

Coding

  • 🔭 Experienced in building Scalable chat apps with Socket.io, Redis, MongoDB, React, and HAProxy

  • 🌱 Proficient in Cloud/Devops automation using Pulumi, AWS, and GCP services for infrastructure deployment and management

  • 💬 Expierenced in optimize code quality in Spring Framework and Iac deployment using Kafka, Amazon SQS, S3, Load balancer, FastAPI, VPC, and Lambda triggers on AWS

  • 📫 Expierenced in increasing code coverage through Unit and Integration Testing in JUnit, Mockito, PyTest, DocTest, Unittest.

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nihalgajbhiye ____nihal___ sanilr

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