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Project built for PennApps 2024 - MedScanner: Mobile application that summarizes key information from medicine labels to be more friendly for the elderly population. Includes AI voice chatbot to let users interact with the scanned information.

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MedScanner - PennApps XXV 2024

Team Members: Stan Chen, Charles Jin, Tony Tian, Hans Zhu

Devpost link: https://devpost.com/software/med-scanner

Tools used:

  • Cerebras
  • Expo
  • OpenCV
  • React Native
  • Google Tesseract OCR
  • Flask
  • Llama3.1

This is an Expo project created with create-expo-app.

Get started

  1. Install dependencies

    npm install
    npm install expo
    touch .expo/settings.json
    npx expo install expo-av --npm
    npm install axios
    pip install flask flask-cors transformers torch gtts speechrecognition opencv-python cerebras_cloud_sdk
    brew install ffmpeg
  2. Start the app

     npx expo start

In the output, you'll find options to open the app in a

You can start developing by editing the files inside the app directory. This project uses file-based routing.

Get a fresh project

When you're ready, run:

npm run reset-project

This command will move the starter code to the app-example directory and create a blank app directory where you can start developing.

Learn more

To learn more about developing your project with Expo, look at the following resources:

Join the community

Join our community of developers creating universal apps.

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Project built for PennApps 2024 - MedScanner: Mobile application that summarizes key information from medicine labels to be more friendly for the elderly population. Includes AI voice chatbot to let users interact with the scanned information.

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