Abstract: Menstrual health, historically stigmatized and underexplored, has faced challenges due to limited access to structured information, resulting in misunderstandings and difficulties in cycle management. The advent of mobile technology and digital health has transformed this landscape through period tracking tools, evolving from simple calendar-based systems to sophisticated applications leveraging data analytics and artificial intelligence (AI). These modern tools enable users to monitor menstrual cycles, predict periods and ovulation windows, and detect irregularities, supporting reproductive health, fertility planning, and early identification of menstrual disorders. The integration of blockchain technology enhances these platforms by ensuring secure, decentralized storage of sensitive health data, promoting user privacy, and enabling transparent, tamper-proof sharing of health insights with healthcare providers. As awareness of women's health and digital wellness grows, AI-powered period trackers with blockchain integration are becoming vital tools, empowering individuals globally with personalized, secure, and reliable menstrual health management.

Keywords: Blockchain, AI, Digital wellness, Menstrual health.


Downloads: PDF | DOI: 10.17148/IARJSET.2025.12747

How to Cite:

[1] Mr. Abhinav N D, Ms. Kruthi R, Ms. Charishma R, "Advancing Menstrual Health Monitoring with AI-Powered Period Trackers and Blockchain Integration," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.12747

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