AI-Powered Menstrual & Ovulation Tracker

App Preview

Client

HealthCore Connect

Industry

Healthcare

Services Integrated

SMART on FHIR Integration with Epic EHR, Mobile App Development with IoT Device Connectivity, Web Application Development & Secure Re-Architecture

Tech stack used
Power BI
AWS
AWS SageMaker
Apache Airflow
Apache Spark
PostgreSQL
Redis
FastAPI
Scikit-Learn
XGBoost
Docker
Kubernetes
HashiCorp Vault
Power BI
AWS
AWS SageMaker
Apache Airflow
Apache Spark
PostgreSQL
Redis
FastAPI
Scikit-Learn
XGBoost
Docker
Kubernetes
HashiCorp Vault

Challenges And Objectives

Menstrual and ovulation tracking remains one of the most widely used but least accurate segments in FemTech. Traditional, rule-based trackers consistently fail due to:

Solutions

The Intellivon Approach

Most menstrual and ovulation apps use static, rule-based tracking that misses biological variability and multimodal data. To solve this, we built a next-gen, AI-powered reproductive health tracker unifying biomarkers, hormones, and lifestyle signals into explainable, real-time forecasts. The platform supports the following use cases:

Real Results

Our AI solution profoundly transformed the platform, moving the enterprise beyond simple tracking to deliver truly personalized and proactive health management:

Higher Predictive Accuracy: 95%+ precision in ovulation and menstruation forecasts, reducing false alerts and missed cycle variations.
Proactive Health Decisions: Real-time, sub-180 ms inference enables timely care recommendations and lifestyle adjustments.
Operational Efficiency: Automated data pipelines eliminate manual aggregation, cutting analysis cycles by over 60%.
Scale & Resilience: Millions of daily API calls maintained at 99.97% uptime with elastic, fault-tolerant infrastructure.
Regulatory Trust: Explainable AI and audit-ready logs streamline HIPAA/GDPR governance and partner integrations.

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