Frontend Engineer at Headout

github

Adarsh Trivedi  • Peerlist

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• Application and API developed for diagnosing a particular set of diseases using nail color analysis through a machine learning algorithm hosted in Microsoft Azure Cloud. • Achieved satisfactory results for predicting jaundice, Low blood count, etc.

ML/AI Based Diseases Predicting Application Using Nail Segme

• A portal made for low bandwidth video and several other vital data transmission system for the social workers and hospital • Technology Stack: Node.js, Express.js, PostgreSQL, WebRTC.

Vital data transfer system for hospital

IOT enabled smart automated soil irrigation system which can be used to automatically irrigate dry fields according to the soil moisture and several other associated data received from the sensors. it was developed using Arduino as a microcontroller and can be controlled by a dedicated android application.