Cycle-Aware Fatigue App

Women’s health is deeply personal — yet most cycle-tracking apps still rely on generalized trends that don’t reflect your unique rhythms.

Our app changes that. This is a smart, personalized health platform designed specifically for women to track and predict fatigue, symptoms, energy levels, and recovery needs based on your own data — not population averages.

Using seamless wearable integration and a friendly WhatsApp chatbot, the app gathers real-time insights from your body and daily experience. It then translates that data into personalized fatigue scores, symptom trends, and recovery insights, all based on the clinically recognized Canadian Consensus Criteria (CCC).

“Published in 2003, the Canadian Consensus Criteria (CCC) is a set of diagnostic criteria used for identifying cases of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) for research and clinical purposes. It is also known as the clinical working case definition.”[1]

📱 Scroll inside the iPhone to explore the app

Fatigue Tracker iPhone UI

🌙 Fatigue Tracker

Today’s Fatigue Trend Score

Based on today’s symptoms compared to your usual pattern.

53%

3 of 6 symptoms show signs of fatigue today

Fatigue score is moderate. Monitor your pace today 🌥️

Weekly Summary

Based on weekly averages vs. rolling baseline.

  • Fatigue scores slightly rising
  • Energy 30% above baseline

Monthly Progress

How your symptoms are changing vs baseline and goals this month.

Energy

Baseline (10%) Current (40%) Goal (80%)

Sleep Quality

Baseline (30%) Current (50%) Goal (80%)

Cycle Phase Insight

Based on cycle-linked fatigue patterns across your last 3 cycles.

  • ● Menstruation – 10%
  • ● Follicular – 25%
  • ● Ovulation – 50%
  • ● Luteal – 15%
You are currently in Ovulation Phase. The phase with the highest fatigue score.

  • Data Collection

    The app collects data through two main channels: Push Notifications via WhatsApp, where users receive daily symptom check-ins, and automatic data collection from wearables, which track metrics like sleep, heart rate, and activity levels. Together, these inputs power personalized fatigue analysis based on the CCC criteria

  • Diagnosis Support

    Once enough consistent data is collected, the app provides diagnosis support by notifying the user when their symptom patterns align with CCC criteria. This summary can then be shared with a medical provider to assist in the diagnosis of fatigue-related conditions.

  • Based on CCC Fatigue Criteria

    The app tracks all key symptoms required by the Canadian Consensus Criteria (CCC) for fatigue-related conditions. It goes beyond standard tracking by also offering personalized insights, cycle awareness, and progress monitoring — all based on your own data.