A mobile app with an automatic recipe generator that facilitates the collection of rescued food. Delivers it to the end users.
Elements: UX UI Design, Machine Learning.
Tools: Figma, Miro, Adobe CC.
Client: Critical Media Lab
Project Overview
The challenge for this project was to create an interface that collects and delivers rescued food with a list of rules (algorithms) that the system uses to match available food with possible users. The project also demanded an interface for end-users to communicate their needs and current inventory.
My Contributions
For this project, I conducted research in the space of food waste, ethical and sustainable delivery of food choosing the right research methodologies. Worked on algorithms for object recognition and machine learning. I was also involved in data analysis, user testing, building wireframes, and designing screens for the final prototype. To promote the app, I did the voice-over and mixed the audio.
Research
The research for this project was continuous and found its way through various stages of the process. This included field, desk research, and benchmarking. Multiple interviews with the stakeholders in the space allowed me to gather insights and make prototypes as the next steps.
Research through Cooking sessions
Cooking sessions with rescued food as a first-person exploration and visits, interviews at community diners on a mission to reduce consumer food waste.
Ideation
User journeys were created to visualize individual's relationship with the product and to represent the timeline of all touch points.
Wireframes
Hi- Fidelity prototypes
Final Prototype Video
