Designing how people experience technology.

The Challenge

Modern wardrobes are full of garments people rarely wear. People forget what they own, struggle to style it, replace damaged clothing instead of repairing it, and make purchases they later regret, in one of the world's most resource-intensive industries.

Design Question

"How might AI encourage slower, more sustainable relationships with clothing?"

Approach

1. Research: explored slow fashion, circular economy principles and consumer behaviour.
2. Opportunity: most fashion technology helps people buy more; very little helps them keep what they already own.
3. Product Strategy: positioned AI as a long-term wardrobe companion, not a shopping assistant.
4. Prototype: built an interactive AI-native prototype in Lovable to validate the concept.

AI Strategy

AI generates outfits from a user's existing wardrobe, surfaces forgotten pieces, and recommends repair before replacement, always framed around ownership, not consumption.

Product Principles

AI should encourage ownership rather than consumption, extend the life of physical products, and make personal style more sustainable over time.

My Role

Product strategy, UX/UI design, product research and AI experience design. Built with Lovable.

What I Learned

"AI products do not always need to automate work. Sometimes the greatest opportunity is helping people build better relationships with the things they already have."

The Challenge

Today's navigation systems treat mobility as a pure optimisation problem. Women's lived experience shows that night-time journeys are shaped by context as much as by distance.

Design Question

"How might AI help women navigate cities with greater confidence by providing meaningful context rather than simply the fastest route?"

Approach

1. See: observed London's night-time environment through everyday journeys.
2. Trace: researched mobility services, women's travel experiences and responsible AI principles.
3. Map: mapped transport, lighting, activity, waiting spaces and decision points.
4. Reframe: shifted from "how can AI make women safer?" to "how can AI help people make better-informed decisions while preserving agency?"
5. Design: created NightGuide, an AI companion adding contextual intelligence to everyday journeys.

Key Features

AI Strategy

AI deliberately stays in the background, supporting contextual recommendations, personalisation and adaptive suggestions. The interface rarely references AI directly: the best AI often feels invisible.

Responsible AI

Avoids predicting whether places are "safe," guaranteeing outcomes, continuous surveillance or excessive data collection. Prioritises human agency, transparency and explainability.

My Role

Problem framing, AI strategy, service design, UX research, journey mapping, systems thinking, product strategy, interaction design and prototype development.

Reflection

"Good AI is defined by restraint. Rather than replacing human judgement, AI should expand it, helping people navigate complexity with greater confidence and context."

The Challenge

Most councils optimise refuse collection using operational metrics: schedules, complaints, service performance, which rarely capture how overflowing bins affect residents' sense of safety, pride and confidence in public space.

Design Question

"How might AI help local authorities respond to public cleanliness in ways that strengthen civic care rather than simply improve operational efficiency?"

Approach

1. See: observed Woolwich through photography, field notes and resident conversations.
2. Trace: researched the history, policy and governance of waste management.
3. Map: visualised spatial patterns, service flows and stakeholder relationships.
4. Reframe: identified the real problem and where AI creates value.
5. Design: prototyped a human-centred service for borough councils.

Key Features

AI Strategy

AI supports prioritisation and pattern recognition across resident reports and operational data. Every recommendation stays explainable and reviewable by council staff rather than automated end to end.

My Role

Research, service design, AI strategy, UX strategy, information architecture, interaction design, product concept, systems mapping and prototype direction.

Reflection

"AI should begin with people, places and public value, treated as an enabling layer within a broader service, not the centrepiece of the experience."