| KEYWORD |
Development of a AI-powered Mobile Application for mediation between patients and doctors
Thesis in external company
keywords AI, API MANAGEMENT, APP DESIGN, APP DEVELOPMENT, MOBILE APP DEVELOPEMENT, MOBILE APPLICATIONS, MOBILE DEVELOPMENT, MONGODB, REACT NATIVE, REDUX
Reference persons SARAH AZIMI, LUCA STERPONE
External reference persons Ingegner Antonio Giordano - antonio.giordano@sweepit.ai
Dottor Gianluca Buniato - gianluca.buniato@gmail.com
Research Groups DAUIN - AEROSPACE AND SAFETY COMPUTING LAB
Thesis type APPLIED, APPLIED, EXPERIMENTAL, INDUSTRIAL
Description This thesis focuses on the development of the MVP (minimum viable product) of "Sweep", an innovative AI project that aims to transform the interaction between patients and doctors in the private healthcare sector. Using a mobile platform, Sweep aims to improve the accessibility and efficiency of healthcare services, facilitating the search and booking of medical appointments and optimizing the match between patients' needs and the specializations of healthcare professionals.
React Native will be used for the Sweep mobile application, a choice that allows us to offer a uniform user experience on both iOS and Android devices starting from a single base code.
The objective of this thesis is to demonstrate how the integration of AI technologies can offer new opportunities to improve access and quality of medical care, generating a perfect match between the request and needs of patients with the experience and skill of medical professionals.
This thesis is in collaboration with the company (innovative startup) Sweep Srl.
Required skills Passing the MAD (Mobile Application Development) exam and/or basic knowledge of React Native is required
Deadline 30/07/2024
PROPONI LA TUA CANDIDATURA