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AI-Powered Women Wellness App

  • Posted:
  • Proposals: 50
  • Remote
  • #4508750
  • Open for Proposals
Tosin O.Micheal E.Ibrahim K.Awais A.Shoaib A. + 45 others have already sent a proposal.
  • 13

Description

Experience Level: Expert
Hi,
Thank you for submitting your proposal for the Women Wellness App project. I am highly impressed by your profile and experience. We are currently reviewing all candidates and technical approaches. As part of our open and collaborative process, we have published the project's vision, planned architecture, and core features on GitHub. To help us move forward with your application, please take a moment to: Review our official repository: https://github.com/carecure26/Women-Wellness-app Leave a Star (⭐) on the repository. Drop a comment in our "Discussions" tab introducing yourself and sharing your initial technical thoughts on our AI features or tech stack: https://github.com/carecure26/Women-Wellness-app/discussions/1
This will help us better evaluate how we can work together.
Looking forward to your input!
Best regards,
Eng. Afaf Ali

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Clarification Board Ask a Question

  • Muhammad Ather A.

    Hi Eng. Afaf,

    Thank you for your message and for considering our application.

    I wanted to ask whether the original job posting is still available. I can't seem to find it anymore on PeoplePerHour, so I was wondering if it has already been removed or closed.

    I'd like to review the original requirements again before going through the GitHub repository and sharing my technical feedback.

    Looking forward to your response.

    Best regards,
    VConn Pvt Ltd

  • CYTNHIA W.

    How are you planning to validate AI-generated wellness recommendations to ensure they remain medically safe and don't cross into regulated medical advice?
    Will the AI rely solely on a structured knowledge base (RAG), or do you envision personalised recommendations generated from user tracking data such as cycle history, symptoms, mood, and lifestyle?
    Have you already decided on the architecture for handling sensitive health data (HIPAA/GDPR considerations), or are you looking for recommendations around encryption, consent management, and data segregation?
    Are you planning to build the recommendation engine as a rule-based system initially and gradually introduce ML models, or do you expect AI-driven personalisation from the first MVP?
    Will the platform integrate with third-party health providers or wearable devices (Apple Health, Google Fit, Fitbit, Garmin, etc.) in future releases, and should the architecture be designed with those integrations in mind?
    How do you envision the AI companion evolving beyond chat for example, proactive wellness check-ins, cycle predictions, personalised education, supplement recommendations, or appointment preparation?
    Is the immediate objective to launch a production-ready MVP with the core wellness features, or are you building the technical foundation for a broader digital health ecosystem that will expand over multiple phases?