Desi Aroma

Women's Empowerment Initiative

Founded by two NID alumni, Desi Aroma is a community-driven initiative that empowers housewives in Gandhinagar by transforming their love for home-cooked food into a source of income and recognition, while serving affordable, wholesome meals to students.

Revamping a medical product for the US market to ensure ADA compliance and drive wider adoption.

My client, who offers a Medicare product suite for the U.S. market, was facing challenges because their offerings X not ADA-compliant. As the UX Lead on this project, I led the redesign of their flagship medical product and conducted UAT with real users of assistive technologies who have visual disabilities.

Client

Personal Project

Duration

2 Months

Industry

Social Innovation

Scope of Work

Service Design

System Design Design

Brand Design

Mobile App

UX/UI

Video Production

🏆 Second Runner-Up User Interface Design Category

From concept to scalable experience.

System-Level Analysis of gandhinagar

Primary & Secondary Research •  Focus Groups • System Mapping • Insights Articulation • Opportunity Mapping

The above shows a system map of Gandhinagar.

From Observations to Insights

Synthesizing user interviews and discussions to uncover patterns, needs, and opportunities that informed design decisions.

Insights from Interviews & Group Discussions
One-to-one interviews with potential customers
  • Limited time to cook → dependence on restaurants
  • Carrying home-cooked food leads to cold, soggy meals
  • Strong need for fresh, homemade food
  • Existing services lack authentic home-style taste
Food tasting workshop with students
  • Willingness to pay ₹100–₹150 for non-veg meals
  • Cost sensitivity; preference for simple packaging
  • Quantity transparency expected in online menus
  • Demand for personalization and portion options
One-to-one discussions with homemakers
  • Family approval is critical for homemakers' participation
  • Homemakers' schedules revolve around family needs
  • Retired individuals seek meaningful engagement
  • Stored homemade snacks fit anytime consumption needs
Insights from Food Business Owners
  • Cook selection is key to consistent homemade taste
  • Limited local market → right customer targeting needed
  • Importance of tracking customer preferences
  • Loyalty requires assurance and stability for home chefs
Insights from Interviews & Group Discussions
One-to-one interviews with potential customers
  • Limited time to cook → dependence on restaurants
  • Carrying home-cooked food leads to cold, soggy meals
  • Strong need for fresh, homemade food
  • Existing services lack authentic home-style taste
Food tasting workshop with students
  • Willingness to pay ₹100–₹150 for non-veg meals
  • Cost sensitivity; preference for simple packaging
  • Quantity transparency expected in online menus
  • Demand for personalization and portion options
One-to-one discussions with homemakers
  • Family approval is critical for homemakers' participation
  • Homemakers' schedules revolve around family needs
  • Retired individuals seek meaningful engagement
  • Stored homemade snacks fit anytime consumption needs
Insights from Food Business Owners
  • Cook selection is key to consistent homemade taste
  • Limited local market → right customer targeting needed
  • Importance of tracking customer preferences
  • Loyalty requires assurance and stability for home chefs

Comparative Analysis

A comparative study was conducted to benchmark existing services, understand gaps in homemaker recognition, and identify best practices in community-driven food initiatives.

*Original artifacts shown as-is in 2018, not recreated. Please use the custom-built zoom feature to view the research text in detail.

Stakeholder Mapping 

Mapped stakeholders to understand roles, influence, and interactions within the service ecosystem.

*Original artifacts shown as-is in 2018, not recreated. Please use the custom-built zoom feature to view the research text in detail.

Journey Mapping

Mapped end-to-end journeys for chefs and customers to uncover pain points, opportunities, and key touchpoints.

*Original artifacts shown as-is in 2018, not recreated. Please use the custom-built zoom feature to view the research text in detail.

Service Blueprint

A service blueprint was developed to align user interactions with operational processes and dependencies.

*Original artifacts shown as-is in 2018, not recreated. Please use the custom-built zoom feature to view the research text in detail.

Brand Building

Brand Strategy • Identity Design • Social Media Campaigns • Marketing Collaterals • Packaging Design • Sourcing • Brand Awareness

*Original artifacts shown as-is in 2018, not recreated. Please use the custom-built zoom feature to view the research text in detail.

Concept Video

A concept video was created to explain the service clearly to stakeholders, helping them understand the vision, features, and benefits.

Key Service Metrics

10

Service POC
Duration

6

Home
Chefs

135

Total
Orders

81

Total Customers

62%

Repeat Customers

Service to Interface

User Persona • User Flows • Wireframing • Design System • Prototyping

An app-based platform was envisioned as part of the scaling strategy, and a prototype was developed to demonstrate its functionality and potential.

Design products people love.

Reimagining Applications with AI

PitchHub

Google's sales enablement team creates hundreds of MVPs each quarter, demonstrating how Vertex AI integrates with diverse applications. As consultants, we ran a pilot project to prove we could take over this process, delivering scalable MVP development for Google.

Client

Google (Vertex AI – Sales Enablement Team)

Duration

2 weeks

Industry

AI & Cloud Computing

Scope of work

SaaS

AI-Driven

No-code

Validating Manufacturing Diagrams for Airbus.

One of the key use cases to showcase Vertex AI’s real impact was with Airbus. We applied AI to streamline the validation of complex, legacy manufacturing diagrams. The system cross-referenced each diagram with the bill of materials and part data, automatically completing missing details. When gaps couldn’t be resolved, the AI clearly highlighted them on both the diagram and validation tables, ensuring accuracy, efficiency, and production readiness.

My Process

Working on rapid MVP builds meant balancing speed with clarity. My process moved from understanding requirements to validating storyboards with stakeholders, designing high-fidelity prototypes within FlutterFlow's constraints, and closing the loop with final reviews before handoff.

Requirement Analysis

Reviewed requirement docs to understand goals, users, and constraints.

Storyboard Validation

Created and showcased storyboards to align on user flow and demo expectations

Prototype Design

Designed interactive prototypes and collaborated with developers to build in FlutterFlow

Final Review & Sign-off

Conducted final walkthrough with stakeholders and incorporated feedback.

Storyboard

The storyboard was carefully designed to map out each step of the user's actions alongside the corresponding generative AI responses. At every stage, we outlined what the user would do and how the AI would assist, whether by validating data, completing missing parts, or highlighting gaps.

*Replica of the original project artifact, unchanged to reflect real delivery under time constraints. Use the custom zoom to view research text.

Wireframe to High Fidelity

For this project, we began by creating quick wireframes to ensure alignment and shared understanding across the team. Once aligned, we developed high-fidelity Figma prototypes, all while keeping in mind the constraints of FlutterFlow, the no-code platform we used to deliver the final product. This ensured the design was both realistic and achievable from concept to final build.

Prompt to Code

For the project, we originally built it in FlutterFlow, but for the purpose of showcasing it in my portfolio, I created a working prototype using Claude.

Prototype features & interactions

Filter Part Cards → Sort by AI processed, errors, or all.

Open Part Details → Click on any card to view detailed screen.

Upload Flow → Simulate uploading diagrams and BOM data.

Inspect Diagram → Identify AI-marked missing information.

Cross-Reference Tables → See issues mapped with reference IDs.

Scrollable Tables → Navigate Pre-BOM and Post-BOM data.

View Part Details Panel → Review part metadata in the side panel.