Health Monitoring Application

Bridging Innovation with Design

Imagine a world where technology seamlessly blends with human needs, making life easier, decisions smarter, and experiences more intuitive. That’s the world I strive to build one design at a time.

My journey began with a passion for problem-solving, an eye for detail, and a deep understanding of how digital experiences shape interactions.

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Project Overview

Project Overview : AI-Driven IoT Healthcare Platform

One of my most impactful projects was designing a comprehensive AI-powered healthcare ecosystem that connected smart medical devices with real-time analytics. This project aimed to bridge the gap between medical professionals, patients, and caregivers, offering a seamless digital experience across multiple platforms, web, mobile, and IoT devices.

Role : UI/UX Designer
Company : Healthmonit
Project Duration : over 2 years
Tools Used : Figma, Adobe XD, Draw.io
Goal : create a human-centered digital experience that bridges the gap between technology and healthcare, making AI-driven insights more accessible and actionable for all users.

Problem Statement

Problem Statement :

In the AI-driven IoT healthcare project, one major challenge was that doctors found it difficult to interpret AI-generated health data from wearable devices. The data was complex, scattered across different screens, and lacked a clear, user-friendly visual representation. As a result, physicians struggled to make quick, informed decisions based on the real-time patient insights provided by the platform.

Solution:

To solve this, I took a human-centered design approach and implemented the following solutions:

- Conducted user research to understand doctors’ needs.
- Designed interactive, AI-powered dashboards with clear data visualization.
- Implemented color-coded alerts for quick risk assessment.
- Enabled customizable dashboards for personalized insights.
- Optimized UI for both desktop and mobile use.

Impact & Results:

- Reduced cognitive load by 30%, making it easier for doctors to interpret AI-driven data.
- Improved decision-making speed, helping physicians act faster in critical situations.
- Boosted platform adoption by 20%, as doctors found it easier to use and integrate into their daily workflow.
- Increased trust in AI-powered insights, as data was now more transparent and actionable.

The UI/UX Design Process

1-User Flow

Defined how users interact, creating flowcharts.

2-Sketch

Started with hand-drawn sketches to explore different layouts.

3-Wirefram

Created low-fidelity wireframes to establish structure and navigation.

4-Mockup

Applied brand colors, typography, and UI components to the wireframes.

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ui sketch
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mockup

5-Prototype

Built interactive prototypes, allowing stakeholders to experience the design.

6-Real User Tests

Conducted real user tests, observing interactions and collecting feedback.

7-Design Iteration

Iterated on designs based on actual user behavior, not assumptions.

8-Developer Handoff

Provided developers with design specs, assets, and documentation.

Ecosystem

UX/UI Design for Four Digital Products

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