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This project is to develop an app that enables a person to scan images of reports of the lung with the phone being able to detect the diagnose the patient.

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ByteCommitter/Ausculto-Wave

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AuscultoWave

AuscultoWave is a groundbreaking application that utilizes cutting-edge technology to analyze images or audio files and correspondingly generate results. This tool is designed to assist healthcare professionals in identifying respiratory conditions such as pneumonia, COPD, asthma, and normal lung conditions.

Features

-Respiratory Condition Detection: Leverage TensorFlow Lite models to decipher whether a patient's lungs exhibit signs of pneumonia, COPD, asthma, or are normal, using images or audio files as inputs. -User-Friendly Interface: Intuitive and easy-to-use interface for seamless navigation and quick diagnosis.

Screenshots

Include some screenshots of your app here.

Prerequisites

  • Python
  • TensorFlow
  • Flutter

Installing

  • Might be an issue without the models

Built With

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This project is to develop an app that enables a person to scan images of reports of the lung with the phone being able to detect the diagnose the patient.

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