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Large Language Model for Women's Health Recommendation

  • About
  • Our Solution
  • Drawbacks of Current Menstrual Tracking Applications
  • Tackling the Limitations
  • About the Large Language Model

About

Women’s Health Recommendation System aims to address major gaps in the existing menstrual tracking apps by leveraging the power of Large Language Models (LLMs) in creating personalized health recommendations. It uses crowdsourced data and an informed health management system to create a positive menstrual narrative among users.

Our Solution

A Large Language Model based recommendation system that:

  • Uses advanced algorithms to accurately predict the phases of the menstrual cycle (e.g., menstrual phase, follicular phase, ovulatory phase, luteal phase) by the use of variations in heart rate, QTc, and QT intervals in ECG readings.
  • Use of crowdsourced data to enhance and optimize recommendation algorithms based on shared knowledge and experiences.
  • Dismantling stigma and fostering a culture of informed menstrual health management through educational resources, supportive content, and community engagement features.

Drawbacks of Current Menstrual Tracking Applications

The existing women's health tracking apps primarily focus on symptom tracking and menstrual date prediction. They completely overlook the possibility of any enhancement in women's physical health and immunity. Major drawbacks in existing systems:

  • Current apps overlook complex hormonal variations during menopause, menarche, and hormonal diseases, leading to inaccurate date predictions.
  • Menstrual tracking apps lack proactive health recommendations, hindering healthy habits tailored to cycles.
  • Many apps perpetuate stigma around menstruation, neglecting to promote positive menstrual health knowledge and excluding gender and sexual minorities.

Tackling the Limitations:

Our objectives:

  • Accurate Menstrual cycle prediction
  • Using LLM for personalized recommendations
  • Crowdsourcing platform for continuous improvement in the system

About the Large Language Model:

The model will serve as a holistic platform for users seeking personalized wellness solutions tailored to their individual needs. Users can access the following-

LLM_features

  • Menstrual phase updates: Receive timely updates on predicted menstrual phases, empowering users to effectively plan and manage their health and activities. This will also cater to people undergoing menarche and menopause.

  • Personalized diet recommendations: Users can prompt for tailored dietary guidance customized to different phases of the menstrual cycle. Additionally, they can explore homemade remedial recipes aimed at alleviating menstrual discomforts such as cramps and promoting a healthy cycle.

  • Yoga and Meditation recommendations: The model will provide 5 to 10 minutes of yoga and meditation recommendations customized for each phase of the cycle. Different phases have unique physical and emotional needs, and the recommended practices will aim to address these specific needs.

  • PCOS/PCOD prevention recommendations: Prevention strategies for polycystic ovary syndrome (PCOS) or polycystic ovary disease (PCOD) that will focus on lifestyle modifications and holistic approaches to promote hormonal balance and overall well-being.

By providing a holistic suite of resources and recommendations, our platform aims to empower users in their journey toward optimal menstrual health and well-being.