Software Engineer & Product Designer
Building Suno Analytics & Prayr App

github

Hammadh Arquil  • Peerlist

ONCO is a mobile application developed with Flutter as the frontend framework that specializes in the diagnosis and prognosis of Skin, Lung, and Breast Cancer, utilizing deep convolutional neural networks for diagnosis, and machine learning and risk models for prognosis Created during my second year at IIT for the Software Development Group Project Module.

ONCO - Diagnosis & Prognosis of Thoracic cancers

Vital:RPM is a mobile application developed for my final-year research project - Based around the telehealth domain, the application supports remote monitoring of patient vital signs (blood pressure, temperature, blood oxygen saturation, respiratory rate & heart rate) allowing the user to add measurement data and receive current health status assessments and also predicted status assessments based on prior data. This status assessment could then be utilized to alert healthcare providers to ensure efficient care.

The system was developed utilizing the Flutter framework as the frontend, Firebase, Flask, Heroku, and Google Cloud Storage were also used to host and store the machine learning models.

The application makes use of several machine learning models where the system utilizes a hybrid machine learning model & a vital sign forecasting model to assist with the final status assessments. The models were trained using the MIMIC IV Dataset provided by MIT ensuring best practices & ethics.

Hammadh Arquil

Software Engineer & Product Designer Building Suno Analytics & Prayr App