FLORA – Federated Learning Ovulation tRacking App with Reward System

Ovulation Tracking applications have become indispensable tools for women, serving multiple purposes, including family planning and detecting potential health risks. However, the collection of sensitive data for analysis by these apps poses significant privacy concerns. If mishandled, such information could lead to user profiling or legal disputes, such as abortion accusations.

Recent studies show that many period tracker apps lack privacy safeguards and share data without user consent. Consequently, there is a pressing need to safeguard users’ privacy rights.

FLORA is an innovative ovulation tracking app that harnesses Federated Learning to promote transparency  and  enhance  users’  privacy.  This  cutting-edge  approach  ensures  that  data remains  on  users’  devices  while  enabling  the  collaboratively  training  of  machine  learning models.

FLORA  offers  accurate  ovulation  date  predictions  and  personalized  health  insights  using Artificial Intelligence, aligning with the advancements of the Next Generation Internet. To bolster security,  additional  privacy-preserving  mechanisms  are  employed.  Fully  Homomorphic Encryption is applied during the model aggregation phase to shield user data from potential

breaches, while local differential privacy is integrated to ensure data privacy from model-based threats. Furthermore, FLORA leverages blockchain technology to establish a verifiable consent system. This system verifies each user’s consent for data sharing and prevents unauthorized alterations.  Blockchain  also serves as a transparent repository for storing machine learning model  versions  generated  during the Federated Learning process. Lastly, to recognize and incentivize  user participation, FLORA introduces a blockchain reward system for users who contribute models or data commensurate with their contributions.

The project’s ultimate objective is the development of a user-oriented mobile application for precise  ovulation  tracking  with  total  control  over  data,  enhanced  by  the power of AI. This solution  places  the  utmost  importance  on  safeguarding  user  privacy and machine learning transparency through state-of-the-art techniques, ensuring that individuals can confidently use FLORA for their health and well-being needs.