FEMbalance
AI-powered menstrual health tracking and PCOS detection for informed well-being.
Created on 22nd March 2025
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FEMbalance
AI-powered menstrual health tracking and PCOS detection for informed well-being.
The problem FEMbalance solves
FEMbalance addresses the lack of accessible and accurate PCOS detection by providing a comprehensive menstrual health tracking system. Users can log their cycle details, symptoms, and health data, while a machine learning model analyzes patterns to detect potential PCOS risks. This enables early diagnosis, timely medical intervention, and improved menstrual health awareness, making healthcare more proactive and data-driven.
Challenges we ran into
Data Collection & Labeling: Finding diverse and well-labeled datasets for PCOS detection was challenging. We overcame this by leveraging publicly available datasets and applying preprocessing techniques to enhance data quality.
ML Model Accuracy: Ensuring high accuracy in PCOS prediction was a hurdle. We fine-tuned our model using advanced feature selection, hyperparameter tuning, and rigorous testing.
Frontend-Backend Integration: Syncing the MERN stack with the machine learning model required efficient API design and optimization for smooth performance.
User Experience Optimization: Designing an intuitive UI that simplifies complex health data was a key focus. We iterated based on user feedback to ensure accessibility and ease of use.
Technologies used