MIGRAINE AURA WITH OPTICAL ANALYSIS

Abstract

Aura-Soft is a new generation Mobile Application that helps a person to deal with migraine using latest machine learning, interactive UI and therapeutic tools. In this project, Aura-Soft is developed and deployed to monitor migraine activity, assess its potential severity using a Gradient Boosting Classifier, and provide non-pharmacological treatment using Audio Frequency Therapy. Also, the use of the chatbot support using artificial intelligence, and real-time cameras has been integrated in the application. Some of the highlight of Aura-Soft include a symptom diary to track migraine, therapeutic sounds and availability of retinal view using device camera. This semi-supervised feature extraction approach enables feature selection and extraction on migraine severity and offers the end-users the options for racially beneficial decisions on their health. Using natural language processing of data set means that responses to the common questions will be fast and individual. The app uses Flutter for the best and clean UI and utilizes multiple packages for capabilities like audio and camera. The backend part is also written in Python and it uses Flask as the framework of the application; it is the mediator between the app and the ML model. Less testing of Aura-Soft took place on smartphones solely as the application was optimized for use and cross-functional testing was carried out in order to establish a reliable and constant functionality of Aura-Soft across various devices for effective migraine treatment. Future is further advancements of the retina analysis through AI, constant monitoring of symptoms with the help of applications and programs, individual advice regarding migraine prevention and other ways to help alleviate the pain. Aura-Soft shows that integrating of AI and mobile technologies is helpful for enhancing the well-being of migraine sufferers and assists them to manage their pains in all-round ways with one application.