AllerTrack
Empowering Allergy Sufferers with Pollen Intelligence
Case snapshot
Problem
Existing weather and allergy apps lacked detailed, hyperlocal pollen data, making it difficult for users to identify their specific allergy triggers.
Solution
Designed AllerTrack, an all-in-one allergy companion combining hyperlocal pollen, weather, and air-quality insights to help users understand their triggers and plan their day with confidence.
Role
As Product Designer, I owned the UX strategy, information architecture, user flows, and visual design from concept to launch.
Outcome
1K+ downloads on Android, with hyperlocal pollen forecasts, personalized alerts, symptom tracking, and allergy-focused insights. Innovation with constraints.
Project overview
AllerTrack is a mobile app that tracks climate-triggered allergies like pollen and poor air quality. Users log symptoms for personalized analysis, access 5-day forecasts, navigate cleaner routes, set medication reminders, and identify specific pollen allergens. By blending science-backed data with intuitive design, the app turns complex environmental insights into actionable daily habits.
1 month
for 1st launch. Ongoing project with additional feature releases.
What are we trying to solve
Allergies strike seasonally with invisible culprits like pollen, which varies dramatically even within 5km. Users battle sneezing, itchy eyes, and fatigue without context or tools to plan ahead. Existing apps bury pollen data in dense numbers, lacking personalization or habit-forming engagement.
The product inception came from a hackathon
What the product wanted to achieve
01
Track real-time pollen and 5-day forecasts in digestible formats.
02
Build habit loops via symptom logging and reports pinpointing allergy causes.
03
Enable proactive planning: daily predictions, travel routes, and medication reminders.
The speedbreakers on our path
01
Crunched timeline demanded rapid iteration and launch in pollen season.
02
Developers favored reusable library components; I prioritized "non-negotiable" design innovations (e.g., interactive visualizations) while deprioritizing generic features.
03
To manage the overload of information (Successfully overcame by evolving IA accordingly)
Research & key insights
Analyzed top global weather apps from a user perspective - what works (simple forecasts) and what fails (context-free data). Conducted user interviews with allergy sufferers to uncover pain points.
Pollen data lacks context
Pair numbers with plain-language health impacts (e.g., "Low: Safe for outdoors")
Seasonal allergies need education without overload
Drip-feed science via data visualisation
Boring apps fail retention
Gamify logging with animations and visualizations.
Habit formation thrives on simplicity
Streamline symptom entry and reminders for daily consistency.
A dead-simple information architecture with a focus on
Clear hierarchy prioritizing pollen at-a-glance
Building the app to be flexible and scalable
Intuitive navigation for tracking, forecasting and reports
Every screen designed served a purpose (obv)
Homepage
Grasp pollen levels and health impacts.
Identify local pollen species.
Plan today and tomorrow.
Symptom tracking
Log/track symptoms effortlessly.
Explore pollen-allergy links.
Set medication reminders.
Detailed forecast
Forecast tomorrow's severity and hourly breakdowns.
Get precautions for the week.
Preview pollen at future locations.
Analyze recent symptom spikes.
Science-heavy data becomes approachable through:
Color-coded severity scales (green-low to red-high) with textual summaries.
Animated pollen particles that "bloom"
Interactive maps for cleanest routes
Habit hooks: Streak counters, quick-log badges, and predictive nudges
From a data dump to consummable bites of information
Experience a snippet of the app
Tab 1 of 4: Homepage
Live impact & results
AllerTrack launched successfully on Google Play (June 2025) and App Store, achieving 100+ Android downloads in its early phase despite a rapid 1-month timeline. The design's clean, intuitive interface - featuring hyperlocal pollen dashboards, quick symptom logging, and customizable forecasts drove immediate user engagement in the competitive weather category.
Downloads
1k+ on Android; iOS traction building post-launch.
Feature Adoption
Recent updates added Symptom Module (weekly reports, sharing), boosting retention through personalized insights.
User Trust
Privacy-first design (encrypted data, no third-party sharing) fosters habit-forming daily use.
Takeaways
This project was definitely a roller-coaster ride. From understanding the inception of the idea to executing it, I learnt a lot about how people think. This was also my first ever attempt at designing a mobile-app, so the learning curve was at an all-time high.
01
Setting up user goals before wireframing helped the team align on the requirements and what is expected outcome of each screen
02
Aligning with tech on their feasibility and providing solutions that help manage deliverables with strict timelines
03
Overcoming the challenge of information-dense screen to minimal, clean intuitive screen
04
Purposefull use of colour in design
If you like what you see, let's get in touch.
Let the conversations flow, and bloom.
Reach out to me
Designed & developed by Smriti Sreekumar • Bangalore, India @ 2026
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