The aim is to develop a one-stop solution to all the medical needs of a person. Be it predicting what disease/condition they may have based on the symptoms. A remider feature for ongoing medications, and also a scanner(barcode/QR) for easy logging of the medications and their information retrieval.
For the disease prediction module, the dataset has been retrieved from Kaggle. It includes a series of diseases along with their symptoms in the form of a sparse matrix. The data has been split and used to train the ANN model built using Tensoflow and the Keras API. The trained model is hosted on a personal server that the Android application connects to. The symptoms are entered on the user side and a request is sent on the server, which in turn predicts the diease and returns back the output to the application.
A bar code scanner has also been implemented to help the user scan for medicines and retrieve relevant information about the same. It has been implemented using Firebase ML Kit Android module.