Trainsfer
Trainsfer provides fast and easy transfer learning on SotA AI models. The user starts by creating a project, selects an AI Use Case (ex. Object Detection), uploads his Annotated Data, and finally follows a tailored UI based model creation flow. The user can choose a model from an existing pre-build list, configure its parameters, and train it on their own data. This provides a fast and simple hand-on experience for creating custom AI models by leveraging existing AI standards.
Part of the product design team. My responsibility was to work with the product team to generate a new, simplified version of an existing bussiness to business product, targeted at small and medium enterprises. I contributed to the end-to-end design process including gathering requirements, user interviews, wireframing, iconography, prototyping, user testing, and designing atomic components and flows.
Trainsfer reduced the time needed to prototype new AI use-cases from weeks to hours, which empowered customers to speed up testing new features in production. Below you can find a sample of screens.
