Early detection of Parkinson disease using ML on GCP

My idea was to detect Parkinson disease by analyzing the voice. Analyzing the voice and waiting time within words and phonetic clarity we will try to predict the predict if the person is PD patient.

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Inspiration

My father is PD patient.And i felt the pain and situation through which a PD patient as well as their family go. So early detection of this disease can give a better treatment and life to the patient

What it does

Listen voice using Microphone and predict if the person is having PD

How I built it

Challenges I ran into

Installing jupyter of google cloud VM

Accomplishments that I'm proud of

I have developed the code for analyzing the voice input from microphone and convert into text for further procession using Google NLP API Currently I am defining the medical parameters to used to build the machine learning model

What I learned

Learned GCP and used google cloud API

What's next for Early detection of Parkinson disease using ML on GCP

Built With

  • googgle-cloud-speech
  • googl-cloud-nlp
  • python
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