NeuroWell Pro+ 2.0: Fostering Neurodiversity with an Empathetic AI Assistant - @ Google AiStudio

Project Overview

NeuroWell Pro+ 2.0 is an interactive, AI-powered web application designed to educate and support users on the topic of neurodiversity. It offers personalized educational content, self-assessment tools, and coping strategies in a thoughtful, empathetic, and non-judgmental environment. The tool leverages AI to provide a supportive and informative experience, empowering users to better understand themselves and find practical support.

My Role: UX Designer, UX Researcher, Product Manager, AI Solutions Designer (as a solo project)

1. The Problem: The Need for an Empathetic Guide

Navigating the topic of neurodiversity, whether for oneself or for a loved one, can be challenging. The information available online is often clinical, overwhelming, or laden with stigma. Neurodivergent individuals and their allies may struggle to find accessible, trustworthy resources that provide personalized support and a sense of community. The core problem was to create a safe, non-judgmental space that provides accurate information and actionable, empathetic support, moving beyond traditional, one-size-fits-all educational platforms.

2. The Solution: A Personalized AI-Powered Companion

The solution was to build a user-friendly application that acts as a compassionate and knowledgeable guide. The system features a clear, interactive workflow that provides a personalized experience without being a clinical tool. Its key features include:

• Personalized Learning Paths: The AI analyzes user input, such as self-assessment results and interests, to curate a relevant and digestible learning path.

• Interactive Self-Assessment: A simple, guided tool helps users better understand their own traits and tendencies. The UI is designed with a thoughtful tone, emphasizing that it is for self-reflection and not for clinical diagnosis.

• AI-Suggested Coping Strategies: Based on the user's input, the AI provides personalized and evidence-based strategies for managing common challenges, such as sensory overload, executive dysfunction, or social anxiety.

• Empathetic Tone: All content and AI interactions are designed to be respectful, inclusive, and affirmative of neurodiversity. The language avoids pathologizing traits and instead focuses on empowerment and understanding.

This integrated approach provides a gentle and empowering pathway for users to learn and grow at their own pace.

3. My Design Process: Building Trust and Empathy

My design process was centered on a critical question: How can I build a tool that feels trustworthy and empathetic in a sensitive and deeply personal domain?

• UX Research: I conducted interviews and surveys with neurodivergent individuals, caregivers, and mental health professionals. A key insight was the critical importance of a non-clinical, empathetic tone and a clear, prominent disclaimer stating that the tool is for informational purposes only. This shaped the core design principles from the very beginning.

• Information Architecture: I structured the app around a clear, intuitive flow with three main modules: "Learn," "Assess," and "Cope." This modular approach prevents cognitive overload and allows users to navigate based on their immediate needs.

• Prototyping & Visual Design: The visual design uses a calming, inclusive color palette and accessible typography. Prototypes focused on creating a safe and non-judgmental interaction, with clear, gentle language used throughout the UI. The design avoids sharp edges and uses soft, inviting shapes to create a comforting visual experience.

4. The Final Product: A Compassionate Resource for Growth

The final product is a clean, modern, and empathetic application that empowers users to learn about neurodiversity and develop personalized coping strategies. The design prioritizes trust, accessibility, and a positive user experience, making it a valuable resource for a community that often feels misunderstood. The AI is a supportive partner, not a diagnostic tool, providing curated information and helpful suggestions. The project demonstrates how thoughtful, human-centered design can responsibly apply AI to a sensitive topic, creating a tool that is genuinely helpful and supportive.

Key Learnings & Outcomes:

• Ethical Design is Non-Negotiable: For a tool in the mental health and wellness space, ethical considerations, such as a clear disclaimer and data privacy, must be at the forefront of the design process.

• Clarity and Tone are Paramount: The application's value comes from its clear, simple, and transparent workflow. The empathetic tone is not a feature but a foundational principle of the design.

• Empowerment Through Personalization: The design successfully tailors the experience to the individual without making a medical claim, which is critical for user adoption and responsible use.

Cognitive Load Reduction Pro+ 2.0: Optimizing UI/UX with AI - @ Google AiStudio

Project Overview

Cognitive Load Reduction Pro+ 2.0 is a groundbreaking AI-powered tool designed to analyze UI/UX screenshots and provide actionable recommendations for improvement. By leveraging Google's Nano Banana technology stack, the application objectively identifies and flags cognitive load issues, helping designers and developers create simpler, more intuitive, and highly effective user interfaces.

My Role: UX Designer, AI Solutions Designer, Product Manager

1. The Problem: The Invisible Burden of Bad Design

Cognitive load is the total amount of mental effort required to use a product. It's often the hidden reason a user feels frustrated or confused. Identifying these issues manually is a highly subjective, time-consuming, and inconsistent process. Designers may intuit that a UI feels "cluttered" or "complex," but they lack the quantitative data to pinpoint the exact source of the problem. This "invisible burden" leads to poor user adoption, high bounce rates, and a constant cycle of guesswork. The core problem was to create an intelligent tool that could automate this analysis, turning a subjective feeling into an objective, data-driven insight.

2. The Solution: An AI-Powered Design Auditor

The solution was to build an intelligent platform that acts as a cognitive load expert. The application's key features and workflow include:

• Screenshot Upload & Analysis: Users can upload a UI screenshot. The AI, powered by the Nano Banana technology stack, scans the image and analyzes every element—from the number of buttons to the visual hierarchy and information density.

• AI-Driven Insights: The system provides an AI-generated report that pinpoints specific cognitive load issues, such as visual clutter, poor information grouping, or inconsistent patterns. It even highlights the problematic areas on the screenshot itself.

• Actionable Recommendations: The tool goes beyond problem identification by providing clear, actionable recommendations. For example, it might suggest "Group related items to reduce visual clutter" or "Use a more consistent button style to improve user familiarity."

• Cognitive Load Score: The application provides a simple, at-a-glance score that quantifies the cognitive load of the design, making it easy to compare and track improvements over time.

This platform transforms a manual, subjective process into an automated, data-driven audit, providing clear recommendations for design improvement.

3. My Design Process: Building a Trustworthy Tool for Designers

My design process was centered on a critical question: How can I build a tool that designers will trust to provide accurate and valuable feedback?

• User Research: I conducted interviews with UX designers and product managers. A key insight was that while they were excited about AI, they were also skeptical. They needed a system that wasn't a "black box" but one that explained its reasoning. This led to the decision to show not just a score, but the specific, visual examples of what was causing the cognitive load.

• Information Architecture: The UI was structured to be intuitive and logical. A clear, side-by-side comparison layout was chosen to facilitate the core task of comparing the screenshot with the analysis. The analysis results are presented in a modular, card-based format, making it easy to quickly scan the report and drill down into specific details.

• Prototyping & Visual Design: I prototyped a clean, professional UI with a minimalist aesthetic. The use of a simple color palette and clear typography ensures readability. The design prioritizes the analysis reports, using visual aids like color-coded highlights and indicators to point to specific issues on the screenshot.

4. The Final Product: A Catalyst for Design Excellence

The final product is a highly functional and intuitive application that serves as a valuable assistant to any design team. It's a testament to the idea that AI should not replace human expertise, but rather augment it. By automating the tedious and subjective parts of the design audit, it frees up designers to focus on creative problem-solving and strategic thinking. The design prioritizes transparency and clarity, ensuring that every AI-driven insight is understandable and actionable.

Key Learnings & Outcomes:

• Transparency Builds Trust: By clearly explaining the "why" behind an AI's recommendation, the tool empowers the user and builds confidence.

• Targeted AI for Specific Problems: The AI is not a general-purpose tool; it is specifically trained to analyze designs for cognitive load. This focus on a niche problem makes the output highly relevant and valuable.

• UX for the UX Professional: The application's design is a reflection of the principles it analyzes, providing a clean, efficient, and delightful user experience for its target audience.

UX Navigator Pro+: Your AI-Powered Guide to the UX Design Process - @ Google AiStudio - Live Demo

Project Overview

UX Navigator Pro+ is an AI-powered assistant designed to guide designers through every stage of the UX process, from initial discovery to post-launch analysis. By leveraging the power of Google's Gemini, the application automates and enhances core tasks, including generating user personas, crafting interview questions, and assisting with wireframe creation.

My Role: UX Designer, AI Solutions Designer, Product Manager

1. The Problem: The High Stakes of the UX Workflow

The UX design process is a complex, iterative journey that demands meticulous attention to detail and a wide range of skills. For new designers, this can be overwhelming, leading to uncertainty and inefficient workflows. For experienced designers, the repetitive, manual tasks like writing interview questions or creating basic user personas can be a time-consuming bottleneck, diverting valuable time away from high-level strategic thinking. The core problem was to create an intelligent tool that could streamline these repetitive tasks and provide a guiding hand, allowing designers to focus on creativity and impact.

2. The Solution: An AI-Powered Design Companion

The solution was to build an intelligent platform that acts as a collaborative partner for designers. The application's key features and workflow include:

• AI-Driven Persona Generation: By simply inputting a few data points about a target audience, Gemini can generate rich, detailed user personas, saving hours of manual work.

• Automated Interview Question Creation: The AI can generate tailored interview questions based on the project's goals, ensuring that designers gather the most valuable insights from user research.

• Wireframe & Flow Assistance: The assistant provides suggestions for user flows and even generates low-fidelity wireframes based on a user's description, accelerating the prototyping phase.

• Comprehensive Project Management: The platform provides a structured workflow that mirrors the UX process, ensuring designers don't miss any critical steps.

This tool transforms a manual, often chaotic process into a structured, efficient, and intelligent workflow, empowering designers to create better products, faster.

3. My Design Process: Building a Trustworthy Tool for Creatives

My design process was centered on a critical question: How can I build a tool that designers will trust to augment, not replace, their creative process?

• UX Research: I conducted extensive interviews with UX designers, from junior to senior levels. A key insight was that while they were excited about AI, they were also wary of tools that felt like a "black box." This highlighted the need for transparency and a user interface that provides clear control over the AI's output.

• Information Architecture: The UI was structured to be intuitive and logical, following the natural progression of the UX design process. A clear, step-by-step layout was chosen to guide users from a project's inception to its completion. The AI's role is clearly defined within each step, acting as a helpful assistant rather than a primary driver.

• Visual Design: I chose a clean, professional, and minimalist aesthetic to prevent visual clutter and maintain focus. The color palette was selected to be calming and trustworthy, and the typography was chosen for clarity and readability. The final product is a professional-grade tool that feels both powerful and approachable.

4. The Final Product: A Catalyst for Design Excellence

The final product is a highly functional and intuitive application that serves as a valuable assistant to any design team. It's a testament to the idea that AI should not replace human expertise, but rather augment it. By automating the tedious and repetitive parts of the design process, it frees up designers to focus on creative problem-solving and strategic thinking. The design prioritizes transparency and clarity, ensuring that every AI-driven insight is understandable and actionable.

Key Learnings & Outcomes:

• AI as an Augmentation, Not a Replacement: This project proved that the most valuable AI tools don't replace humans; they augment their abilities, freeing them to focus on higher-level strategic work.

• Simplicity for a Complex Topic: By using a clear hierarchy and intuitive flow, the design successfully makes the complex UX process feel approachable and easy to understand.

• UX for the UX Professional: The application's design is a reflection of the principles it analyzes, providing a clean, efficient, and delightful user experience for its target audience.

Factory IoT Pro: A Smart Dashboard for Environmental and Operational Monitoring - @ Google AiStudio - Live Demo

Project Overview

Factory IoT Pro is a responsive and interactive dashboard designed for modern factory environments. It provides real-time monitoring of critical metrics, including carbon emissions and various IoT sensor data. By leveraging AI to provide actionable insights and summaries, the platform empowers factory managers to improve operational efficiency, ensure regulatory compliance, and move towards a more sustainable future.

My Role: UX Designer, Product Manager, AI Solutions Designer (as a solo project)

1. The Problem: The Hidden Costs of Inefficiency

Traditional factory environments often rely on manual data logging or disconnected systems to track operational metrics. This approach is not only inefficient but also makes it nearly impossible to correlate data points or identify emerging issues in real time. Specifically, tracking carbon emissions and other environmental data can be a tedious and reactive process, leading to potential compliance risks and missed opportunities for optimization. The core problem was to unify these disparate data streams into a single, intelligent, and actionable platform.

2. The Solution: A Centralized, AI-Powered Command Center

The solution was to build a comprehensive dashboard that acts as a single source of truth for all factory operations and environmental data. Key features of the solution include:

• Real-Time Data Visualization: The dashboard provides live charts and graphs for key metrics like carbon emissions, temperature, humidity, and machine performance.

• AI-Driven Insights: The system uses AI to analyze data trends and provide proactive insights, such as predicting a potential equipment failure or suggesting a workflow adjustment to reduce energy consumption.

• Actionable Summaries: Instead of overwhelming users with raw data, the platform provides clear, natural-language summaries of complex information, making it easy for managers to understand and act on critical findings.

• Compliance Monitoring: The dashboard provides automated alerts and reporting to ensure the factory stays within environmental regulations, mitigating compliance risks.

This approach transforms a complex and reactive process into a streamlined and proactive one, driving efficiency and sustainability.

3. My Design Process: Building Trust Through Simplicity

My design process was centered on a critical question: How can I take a massive amount of complex data and make it feel simple, intuitive, and trustworthy to the end user?

• UX Research: I conducted user interviews with factory managers, floor supervisors, and environmental compliance officers. A key insight was that while they needed data, they were overwhelmed by dashboards that presented too much information at once. This highlighted the need to prioritize data and use AI to deliver only the most relevant, actionable insights.

• Information Architecture: I structured the UI with a clear hierarchy. The main dashboard provides a high-level overview of critical KPIs. Users can then drill down into dedicated pages for emissions and specific sensor data. The AI-powered insights are prominently displayed at the top, ensuring users see the most important information first.

• Prototyping & Visual Design: I prototyped a clean, professional, and modern UI. I chose a dark theme to reduce eye strain during long monitoring sessions and used a vibrant color palette to highlight critical metrics and alerts. The data visualizations were designed to be both aesthetically pleasing and highly functional, using simple charts and clear labels to communicate complex information effectively.

4. The Final Product: A Clear Roadmap to Efficiency and Sustainability

The final product is a powerful and intuitive dashboard that serves as a valuable assistant to factory managers. It demonstrates how AI can be a strategic tool, not just for automation, but for providing intelligence that leads to better, more sustainable decisions. The design successfully marries complex backend technology with a clean, user-centric front end, creating a product that is both powerful and easy to use.

Key Learnings & Outcomes:

• Actionable Insights are Key: The value of a dashboard lies not in how much data it shows, but in how it helps users make better decisions.

• Simplicity for Complex Data: By using a clear hierarchy and AI-powered summaries, the design successfully makes a complex topic feel approachable and easy to understand.

• Design for Proactive Management: The dashboard empowers users to move from a reactive "fix-it-when-it-breaks" mindset to a proactive, data-driven strategy.

UX Analysis Pro: Revolutionizing Design Audits with AI-Powered Insights - @ Google AiStudio

Project Overview

UX Analysis Pro is an innovative application designed to streamline and enhance the design audit process. By leveraging AI, it analyzes and compares an existing website or app design with a new prototype, providing in-depth insights on user behavior, sentiment, and accessibility. The platform applies core UX laws to offer a comprehensive, data-driven report that guides designers toward significant improvements.

My Role: UX Designer, AI Solutions Designer, Product Manager

1. The Problem: The Manual Design Audit Bottleneck

Traditional UX design audits are often a time-consuming, manual process. Designers and researchers must painstakingly go through every screen, making subjective observations on user flow, identifying accessibility issues, and applying UX principles. This process is prone to human error, can be inconsistent, and often lacks objective, quantitative data to back up its findings. The core problem was to create a tool that could automate this tedious work, providing a fast, consistent, and data-backed analysis for comprehensive design improvement.

2. The Solution: An AI-Powered Design Companion

The solution was to build an intelligent platform that acts as an expert UX consultant. The application's key features and workflow include:

• Design Upload & Analysis: Users can upload a live website URL or a prototype image. The AI then "scans" the design, analyzing its layout, components, and text.

• AI-Driven Insights: The system provides AI-generated insights on user behavior, predicting where users might get confused or frustrated. It also performs sentiment analysis to gauge the emotional tone of the content.

• Accessibility & UX Law Compliance: The tool automatically checks for common accessibility issues (e.g., color contrast, font size) and applies relevant UX laws (like Fitts's Law or the Gestalt Principles) to identify areas for optimization.

• Comparison Mode: The most powerful feature is the ability to compare an "old" design with a "new" prototype, providing a side-by-side analysis of how the changes have impacted key metrics.

This platform transforms a manual, subjective process into an automated, data-driven audit, providing clear recommendations for improvement.

3. My Design Process: Building a Trustworthy Tool for Designers

My design process was centered on a critical question: How can I build a tool that designers will trust to provide accurate and valuable feedback?

• User Research: I conducted interviews with UX designers, product managers, and developers. A key insight was that while they were excited about AI, they were also skeptical. They needed a system that wasn't a "black box" but one that explained its reasoning. This led to the decision to show not just a score, but the specific UX law or accessibility guideline that was being applied.

• Information Architecture: The UI was structured to be intuitive and logical. A clear, side-by-side comparison layout was chosen to facilitate the core task of comparing two designs. The analysis results are presented in a modular, card-based format, making it easy to quickly scan the report and drill down into specific details.

• Prototyping & Visual Design: I prototyped a clean, professional UI with a minimalist aesthetic. The use of a simple color palette and clear typography ensures readability. The design prioritizes the analysis reports, using visual aids like color-coded indicators to highlight "positive" and "negative" findings. The final product is a professional-grade tool that feels both powerful and approachable.

4. The Final Product: A Catalyst for Design Excellence

The final product is a highly functional and intuitive application that serves as a valuable assistant to any design team. It's a testament to the idea that AI should not replace human expertise, but rather augment it. By automating the tedious parts of the design audit, it frees up designers to focus on creative problem-solving and strategic thinking. The design prioritizes transparency and clarity, ensuring that every AI-driven insight is understandable and actionable.

Key Learnings & Outcomes:

• Transparency Builds Trust: By clearly explaining the "why" behind an AI's recommendation (e.g., "This button violates Fitts's Law"), the tool empowers the user and builds confidence.

• Targeted AI for Specific Problems: The AI is not a general-purpose tool; it is specifically trained to analyze designs and apply UX principles. This focus on a niche problem makes the output highly relevant and valuable.

• UX for the UX Professional: The application's design is a reflection of the principles it analyzes, providing a clean, efficient, and delightful user experience for its target audience.

Job Run AI Agent Platform: Streamlining Financial Operations with AI - @ Google AiStudio

Project Overview

The Job Run AI Agent Platform is a sophisticated dashboard designed to manage and monitor automated financial processes. Simulating job runs for critical tasks like payment processing, fraud detection, and risk analysis, the platform provides real-time oversight and control, transforming manual, reactive workflows into a proactive, data-driven system.

My Role: UX Designer, AI Solutions Designer, Product Manager

1. The Problem: The High Cost of Manual Financial Operations

In the financial sector, tasks like payment processing, fraud detection, and risk analysis are often complex, time-consuming, and prone to human error. Legacy systems and manual processes lead to inefficiencies, delayed insights, and an increased risk of fraudulent activity. Operators lack a centralized, real-time view of their financial health, making it difficult to identify bottlenecks or respond to emerging threats. The core problem was to create an intelligent system that automates these processes while providing a clear, actionable command center for oversight.

2. The Solution: A Centralized, Intelligent Command Center

The solution was to build a comprehensive dashboard that acts as a central hub for all AI-powered financial operations. Key features of the solution include:

• Real-Time Job Run Monitoring: The dashboard provides a live view of ongoing and completed job runs, showing the status, success rate, and any errors in real-time.

• Simulated AI Agent Performance: The system simulates job runs for various tasks (e.g., payment validation, fraud scoring) to demonstrate how the AI agents would perform in a live environment.

• Intuitive Dashboards for Specific Tasks: Dedicated views for payment processing, fraud detection, and risk analysis provide a tailored experience, allowing users to focus on the metrics most relevant to their specific role.

• Performance Metrics & Analytics: Clear visualizations and key performance indicators (KPIs) highlight the efficiency and effectiveness of the automated processes.

This platform transforms the management of complex financial tasks, providing transparency and control that was previously unavailable.

3. My Design Process: Building Trust in Automation

My design process was centered on building a system that users could trust to handle sensitive financial data.

• UX Research: I conducted research with financial analysts and operations managers to understand their workflow and their concerns about automation. The key insight was the need for transparency. Users needed to see not just the result of a job run, but also its status, the data it was processing, and any potential issues in real-time.

• Information Architecture: The dashboard was structured with a clear, top-down hierarchy. A main overview page provides a high-level summary of all job runs, while sub-pages for specific tasks allow users to drill down into detailed analytics.

• Visual Design: I chose a clean, professional aesthetic with a minimalist design to prevent visual clutter. The color palette was used to clearly differentiate between statuses (e.g., green for success, red for errors), making it easy to spot issues at a glance.

• Technology Stack: The application was built with Google AiStudio as the core AI platform, providing the power behind the agent simulations. The front-end was developed using React for a modular, component-based UI and Tailwind CSS for its utility-first approach, which ensured a clean and responsive design.

4. The Final Product: A New Standard for Financial Operations

The final product is a highly functional and intuitive dashboard that sets a new standard for managing financial operations. It successfully demonstrates how AI can be a powerful partner for financial professionals, handling the tedious, high-volume tasks while providing the human expert with a clear, real-time command center. The design prioritizes clarity and control, ensuring that the power of the AI is always in the user's hands.

Key Learnings & Outcomes:

• Clarity is King in FinTech: In high-stakes fields like finance, the user interface must be simple, transparent, and trustworthy.

• Design for Proactive Control: The dashboard empowers users by giving them not only a view of their systems' statuses but also the tools to take immediate, proactive action.

• AI as an Augmentation: This project proved that the most valuable AI tools don't replace humans; they augment their abilities, freeing them to focus on higher-level strategic work.