PedalUp is a concept bike sharing product that I developed as an end to end AI supported design project. I worked through the full process, starting from UX research, competitor analysis, personas, user journeys, and product flows, then continued with design system creation and UI design in Figma. The product includes key flows such as map based bike station discovery, QR code rental, navigation, ride tracking, bike return, and issue reporting. After completing the design, I used Codex to turn the concept into a functional digital prototype, exploring how AI can support the transition from design to development. This project reflects my interest in combining UX research, scalable design systems, polished interfaces, and AI assisted workflows to create more efficient and complete product experiences.

PedalUp is a concept bike sharing product designed for urban users who need fast, practical, and flexible transportation for short distance journeys. The main problem was that many existing micro mobility and bike sharing experiences can feel unreliable due to unclear station availability, limited service areas, confusing pricing, weak guidance during the rental and return process, and lack of visibility around bike condition. With the rise of AI tools in the design industry, I also wanted to explore how AI could support the product design process from end to end, not only during ideation but also throughout UX research, design system creation, UI design, and functional prototyping.

I developed PedalUp as an end to end AI supported product design project. The process started with UX research, competitor analysis, personas, user journeys, pain points, and product flow definition. Based on these insights, I designed core flows such as map based station discovery, bike availability, QR code rental, navigation to stations, ride tracking, bike return, pricing visibility, and issue reporting. I also created a scalable design system in Figma, including colors, typography, components, buttons, cards, forms, icons, states, and interaction patterns to keep the experience consistent. After completing the UI design, I used Codex to turn the concept into a functional digital prototype, exploring how AI can help connect the design and development process more efficiently. The goal was to create a clearer, more trustworthy, and more seamless bike sharing experience while also demonstrating how AI assisted workflows can support the full product design cycle.