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Palm

Concept App | UX\UI
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Overview

Imagine a world where every product you pick is truly right for you. a world where ingredients are no longer confusing, labels are no longer overwhelming, and where a smart app helps you make smarter, clearer, and more personalized choices.

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Problem

Users often buy food and cosmetic products without fully understanding their ingredients. Many consumers rely on packaging and marketing claims when choosing products, without fully understanding  or even checking the ingredient list. Complex labels, misleading messaging, and unreliable reviews make it difficult to make informed, health-conscious decisions or quickly assess what is truly safe and beneficial.

83%

Consumers feel confused by ingredient labels at least some of the time.

8 sec

Average time to decide on a product in-store.

+5

On average, common processed additives found in packaged supermarket products.

User Research

In order to better understand the needs and frustrations of the user, I used both interviews and questionnaires. Initially, I sent Google surveys to 40 potential users between the ages of 20 and 60.

63%

Don’t Check product ingredients.

82%

want clearer insight into product health effects.

78%

Willing to spend time scanning products while shopping.

80%

Would trust AI-driven ratings based on medical research and data.

70%

experiencing negative effects after purchasing a product.

  • Focus on ingredient breakdown and health awareness.

  • Offers basic product health evaluation

  • User-friendly scanning experience.

Competitive Analysis

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Olive

A food scanning app focused on ingredient analysis and health transparency

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Yuka

A popular barcode scanning app that rates food and cosmetic products based on health impact.

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Fooducate

A nutrition-focused app that scans products, grades them (A–D), and provides healthier alternatives.

Strengh

  • Simple barcode scanning experience.

  • Clear health score system.

  • Large user adoption and brand awareness.

  • Detailed nutritional grading system

  • Provides healthier product alternatives.

  • Includes educational content about nutrition.

  • Limited personalization features.

  • Smaller ecosystem compared to competitors.

  • Basic recommendation system.

Weaknesses

  • No real personalization based on user preferences or allergies.

  • Limited AI capabilities.

  • Relies only on existing product database.

  • Not fully personalized to individual users.

  • No advanced AI-driven recommendations.

  • Limited ability to scan products without barcode.

Conclusion

The competitor analysis revealed a gap in personalized, AI-driven product scanning experiences, creating an opportunity for a smarter solution tailored to individual user needs.

Strengh

Weaknesses

Weaknesses

Strengh

Pain points

User Challenges & Frustrations

Lack of Clear Product Transparency

Users struggle to understand product ingredients and their impact on health.

No Personalized Guidance

Existing apps provide generic ratings that don’t reflect individual needs, allergies, or preferences.

Information Overload at the Point of Purchase

Users feel overwhelmed when trying to make quick decisions while shopping.

Limited Scanning Capabilitiese

Most apps rely only on barcodes, making it difficult to analyze products without them.

key Features

Powerful tools for smarter product choices

 Product Scanning

Scan any product barcode or by image and receive immediate insights in seconds.

Ingredient Analysis

Break down complex ingredient lists into clear, easy-to-understand information.

Personalized Picks

Receive healthier product alternatives tailored to user preferences and lifestyle.

AI Chat Assistant

Chat with AI to ask questions about ingredients, nutrition, and healthier alternatives.

User Scenario

Maya Levin

29 Years Old | Tel-aviv | Nurse

Maya is a 29-year-old nurse working in a busy hospital environment with rotating day and night shifts. Her schedule is intense and often unpredictable, leaving her with limited sleep and very little free time during the day.

​

Between shifts, she often grabs quick snacks, supplements, and personal care products on the go, with minimal time to review ingredients or compare options. Over time, she has become more motivated to improve her lifestyle and make healthier, more conscious choices, but the fast pace of her routine makes this challenging.

Maya’s Needs:

  • Fast product evaluation during busy routines.

  • Clear, easy-to-understand information without reading complex labels.

  • Quick decision-making in time-limited situations.

  • Personalized recommendations that fit her lifestyle.

  • A low-effort, stress-free shopping experience.

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How might we

help Maya quickly find products that match her lifestyle and preferences, so she can make confident decisions on the go?

Solution

An AI-powered scanner that gives instant, personalized insights on food and cosmetic products—highlighting suitability, flagging concerns, and suggesting healthier alternatives to support smarter, health-focused choices.

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Wireframes

Sketch-style wireframes were created to define the app’s structure, user flow, and core functionality before moving into the UI design phase.

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Preference 

Authentication

Home

Scan Screen

AI chat assistant

Scan by image

Scan Results

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User Interface

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Onboarding

A quick, visual onboarding flow that introduces Palm’s value and lets users skip anytime to start scanning immediately.

Set Your Preferences.
Get Smarter Scans.

Preference screens were designed to personalize the app experience and provide smarter, more relevant scan results.

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Your Feedback Matters

Users can leave feedback on scanned products to help improve personalized recommendations and better product alternatives.

Stay Updated With Smart Insights

Intelligent notifications based on user behavior and scan data.

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Home Page

The Home screen prioritizes the user’s most relevant actions after scanning a product. Recently scanned items appear first for quick access to safety insights and recommendations, followed by AI-driven alerts and lightweight feedback interactions. Educational content is placed lower in the hierarchy, creating a clear flow from immediate decision-making to deeper discovery.

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Your Scan History

Helps users instantly understand scanned products, manage them easily, and discover better alternatives for healthier everyday decisions.

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Explore Articles

Educational articles that help users make smarter everyday choices.

AI chat assistant

Turn every scan into a conversation.

Turn every scan into a personalized conversation. The AI assistant helps users better understand products, ingredients, and compatibility through fast and intuitive interactions.

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Scan product  by Barcode

​Users can scan products by barcode to instantly receive personalized product insights, ingredient evaluations, reviews, and alternative recommendations based on their preferences and health goals.

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Or Scan by Image

Users can upload or capture a product image, allowing the AI to identify the product and instantly generate a personalized product report with insights, ingredient analysis, and recommendations.

Style Guide

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Typography

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Icons

Colors Palette

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Thanks for your time :)

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