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Hi thereπŸ‘‹, I'm Sejal Jain

A passionate Fullstack Web Developer from India

I have a strong passion for coding and love to create innovative web applications. With a solid foundation in frontend and backend development, I enjoy working on projects that challenge me and allow me to continuously learn and grow as a developer

Sejal Jain's Dev Card
  • 🌱 Learning and Growing

  • πŸ’¬ Ask me about Software Development

  • πŸ“« How to reach me [email protected]

Languages:

cplusplus typescript python html5 css3

Frameworks & Technologies:

express Nest.js express react redux vue aws aws firebase firebase

Databases:

mysql postgresql mobgoDB

I'm also learning Data Structures and Algorithms πŸ‘©πŸ»β€πŸ’»

sejaljain123

I do development in πŸ‘©πŸ»β€πŸ’»

sejaljain123

Find me on:

sejaljain2043 sejaljain2001

Sejal Jain 's Projects

catgifs icon catgifs

πŸ±β€πŸš€ Best cat gifs around

covid-19-deep-learning-cnn-model icon covid-19-deep-learning-cnn-model

Here, I created my own deep learning(CNN) model for early detection of COVID-19 from chest x-ray images. If we were to answer the question that why we need a deep learning model for early detection of COVID-19 from chest x-ray images, we can say the followings, doctors have seen that even if the test kits desined for diagnosis results in negative, the real results are positive for some patients when they review the chest X-ray images. For now the public dataset contains less amount of data which you can see in the dataset2 folder. We get this dataset from open-source https://github.com/ieee8023/covid-chestxray-dataset, but for sure it is not enough to train a proper deep learning model. But just to show that how easy it is to create an AI for the early detection of these kind of viruses. Just keep in mind that this cannot be used for diagnosis without training many more images in high-resolution and professinal medical tests. There you go! Let's work together to fight against COVID-19. As a tool, I used Keras with Tensorflow background, and the model can be improved by addig more convolution and pooling layers, and increasing the number of feature detectors'. Don't forget to upvote. Best Regards.

nodejs.dev icon nodejs.dev

A new Node.js resource built using Gatsby.js with React.js, TypeScript, and Remark.

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