Project Inception

Initial research concept developed. Team formation and preliminary literature review begins.

Data Collection Phase

Comprehensive data gathering from medical databases and research partnerships. Initial data preprocessing and cleaning.

Machine Learning Model Development

Begin developing and training initial machine learning models for PCOS detection. Iterative model refinement starts.

Model Validation

Comprehensive model testing and validation with medical expert review. Performance metrics analysis.

Preliminary Results

Initial research findings prepared for academic conference submission.

Stay Informed

Follow our progress and latest developments in PCOS detection research.