Chest X-Ray Classification
- website and app that can detect covid, pneumonia, tuberculosis.
- Deep Learning has been used to detect the disease by using a Convolutional Neural Network(MobileNetV2) which performs classification
- Decentralised and Secure
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InterPlanetary File System peer-to-peer network for storing and sharing data in a distributed manner.
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Distributed and Decentralised File Sharing system
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A file gets divided into pieces and gets distributed whole over internet
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Files gets encrypted and gets uploaded
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Create a account and Login to the website
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Checkout the upload page to check your X-Ray.
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Result will be displayed.
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Precautions and safety measures are also provided depending upon the result of the X-Ray.
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Can also check the profile page for previous X-Ray checks.
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This project helps users check their Chest X-Ray reports in a matter of seconds.
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A Chest X-Ray image classification based website and app that can detect Covid-19, Pneumonia and Tuberculosis.
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A decentralised and secure chest X-Ray classification website.
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The user can login and upload an image of the Chest X-Ray which will be safely secured on Blockchain.
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Alan AI has also been integrated for smooth workflow.
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The user can also view a history of their medical chest X-Ray reports which can be downloaded in the form of a pdf.
This project is built using React, Node, Express, Redux, Tensorflow, IPFS, Alan AI, Keras, Flutter, Dart, Tensorflow Lite.
- React
- Node
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Clone the repository to your local machine
git clone https://github.com/Codificacion-Circulo/Alveoli.git -
Move to the web-app and backend and install all the dependencies
npm install -
Move to the backend folder and run the development environment
npm run dev -
Move to the web-app folder and run the Development Environment
npm start