International Journal of Science, Engineering and TechnologyAuthors: Saee N. Suryawanshi, Pornima P. Sangale, Shruti K. Pawar, Shital R. Bedse
Abstract: Throughout a woman’s life, physiological and hormonal changes—such as menstruation, pregnancy, postpartum recovery, menopause, and conditions like PCOS and anaemia—significantly affect her health. Unhealthy habits and improper dietary choices often worsen these challenges. While many digital health apps exist, most offer generic recommendations and lack real-time, personalized support for women. This paper presents an AI-powered wellness system specifically designed for women, integrating personalized diet planning with yoga pose correction. The system uses machine learning for nutrition and computer vision techniques, including CNNs and MediaPipe, for pose detection and correction. It addresses limitations of existing solutions, such as lack of real-time feedback, conditionspecific guidance, and poor integration of wellness practices. By combining pose correction, personalized nutrition, and progress tracking into a single AI platform, it enhances the effectiveness and accessibility of women-centric wellness solutions.
DOI: http://doi.org/10.5281/zenodo.20854050
