AI-powered Project Baseline to Map Human Health

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In this post, you will learn about technologies and data gathering strategy for Project Baseline, an initiative by Google.

Project Baseline is an IOT-based AI-powered initiative to map human health. Different kinds of machine learning algorithms including deep learning etc would be used to understand different aspects of human health and make predictions for overall health improvements and precautionary measures. This would require a very large volume of data to be gathered and processed before being fed into AI models. The following represents the data gathering strategies for Project Baseline:

  • Diagnostic tests covering blood-related tests; specialized tests such as ECG, chest X-ray, eyesight check
  • Doctor examination leading to the collection of data related to health and lifestyle
  • Regular health-related surveys to capture lifestyle related data on the go.
  • Wearables & sensors devices such as watches for monitoring heart-rates/activity level etc, device under the mattress to monitor sleep habits

Project Baseline Technologies

The following technologies look to form the core of the technologies used in the project baseline.

  • Artificial intelligence (machine learning, deep learning)
  • Internet of Things (IoT) to transmit data from devices to the cloud
  • Big data technologies for data processing
  • Cloud computing for using different cloud services for data processing

Companies/Universities involved with Project Baseline

Ajitesh Kumar

Ajitesh Kumar

Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc.

He has also authored the book, Building Web Apps with Spring 5 and Angular.
Ajitesh Kumar

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