Women’s Health · FitnessMobile · AR · AI3 min read

LunaFlow: Cycle-aware, accessible fitness — designed in 24 hours.

Role
User Research, UX Design, Prototyping
Timeline
24-hour hackathon
Event
WiCHacks ’24 · RIT
Type
Group project
Two LunaFlow phones: the purple splash screen reading "Empowering every phase, every cycle", and a results screen showing 80% accuracy with AI-generated tips for down days

Project at a glance

Problem

Menstruating individuals want to stay active, but generic fitness apps don’t adapt to cramps, fatigue, or hormonal change — and rarely support hard-of-hearing users.

Solution

A fitness app combining cycle tracking with adaptive workouts, AR posture scanning, an ASL guidance mode, and AI-generated tips.

Impact

Won “Best Accessible UI” and “Fan Favorite” at WiCHacks ’24 for its inclusive, user-centred design.

Best Accessible UI
Winner
Fan Favorite
Winner
Research to prototype
24h

01 — Project focus

A pivot grounded in research and ethics

LunaFlow helps people stay active and care for their bodies through every phase of the menstrual cycle.

Initial idea

Pivoted away
  • A fully accessible workout app for people with all disabilities
  • Impractical to design and validate in 24 hours
  • Ethically risky without extensive user studies

The pivot

Built
  • Menstrual wellness fitness: cycle tracking + adaptive workouts
  • A combination missing from the market
  • Accessibility kept core: AR posture + ASL mode

Why we pivoted

Research shows exercise reduces menstrual pain — and a quick survey at the hackathon found almost every woman experienced cramps and struggled to find an app combining fitness and period care.

02 — Research

Fast research, clear gaps

  • Goal: understand how users manage workouts during their cycle.
  • Goal: identify accessibility barriers and tone-of-voice pain points in existing apps.
  • Goal: validate whether AR and AI can improve safety and confidence.
  • Desk research

    Research papers

    Confirmed exercise during menstruation can ease pain and improve wellbeing.

  • Survey & interviews

    Hackathon participants

    Nearly all reported moderate to severe cramps; many felt unsupported by generic apps.

  • Competitive audit

    Leading apps

    Compared features and accessibility across cycle trackers and fitness apps.

Gap identifiedDesign response
No app combined cycle tracking and workoutsCycle-aware workout plans
No adaptation for pain, fatigue, or hormonesEnergy- and pain-based daily adjustments
Little support for hard-of-hearing usersASL guided video mode

03 — Ideation

From sketches to a calm, readable system

I sketched the core flows, prioritising the shortest path to a personalised, safe workout.

  1. Cycle-aware onboarding
  2. Adaptive daily workout
  3. AR posture scan
  4. Community tips
  • Layout

    Minimal card-based UI

    Soft, calming palettes to reduce stress; micro-interactions for delight.

  • Colour

    #5C1DE6 · #DDD8FE · #000 · #F5F5F5

    WCAG-compliant pairings with contrasting text for readability.

  • Type

    Lato, never under 12pt

    Clean and legible, with a consistent hierarchy of large headings.

04 — Designs

Four parts, one inclusive experience

  1. 1

    Inclusive onboarding

    Users share preferred pronouns, fitness goal, fitness level, and workout location.

  2. 2

    Cycle-based plan

    Users enter period dates and get a personalised workout plan for each phase.

  3. 3

    AR posture + ASL mode

    Live posture detection corrects form; ASL mode gives guided video for users with hearing difficulties.

  4. 4

    AI tips & Aurora

    AI-generated feedback based on performance, plus Aurora — a virtual assistant for tailored guidance.

05 — Outcome & reflection

Inclusivity means understanding overlooked needs

Awards: Best Accessible UI & Fan Favorite
2
From pivot to working prototype
24h

Reflection

LunaFlow taught me that inclusivity isn’t only about accessibility features — it’s about truly understanding overlooked needs, and having the discipline to scope responsibly.

  • Next: deeper research with diverse groups, including people with PCOS and endometriosis.
  • Next: refine AR scanning accuracy through testing.
  • Next: stronger audio and visual accessibility — ASL videos and voice commands.
  • Next: cycle-based dietary recommendations.