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Client
Adobe Creative Jam: Design For Change With SoDA Agencies
This project was created for an Adobe Creative Jam. We were instructed to build a minimum 15 page mobile app over the course of 2 weeks using adobe XD, and adobe suite. With the goal of addressing food insecurities.
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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
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We had the chance to speak one-on-one with John Zegowitz the Chief Creative Officer for Schieffer Chop Shop. With John we shared our proposed concepts. John liked the concept of our end-to-end shopping and possibility of nutrition program. He gave us a challenge of how to diminish the stigmatization off food insecurity and can we make a "food Disneyland".
We had the chance to speak one-on-one with John Zegowitz the Chief Creative Officer for Schieffer Chop Shop. With John we shared our proposed concepts. John liked the concept of our end-to-end shopping and possibility of nutrition program. He gave us a challenge of how to diminish the stigmatization off food insecurity and can we make a "food Disneyland".
Paragraph lIGHT: When scanning an image for each of the 4 variables in Teachable Machines the Ai was a lot better/ more responsive at picking up and displaying the proper identifying names. The only flower that was consistently recognized by the AI was "Bougainvillea" and regularly thought that everything even just me was "White Rose". I wasn't so stoked about this result from the teachable tech. I did decide to upload duplicates of the same photos. This boosted the likelihood of showing the proper label.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Paragraph Medium: When scanning an image for each of the 4 variables in Teachable Machines the Ai was a lot better/ more responsive at picking up and displaying the proper identifying names. The only flower that was consistently recognized by the AI was "Bougainvillea" and regularly thought that everything even just me was "White Rose". I wasn't so stoked about this result from the teachable tech. I did decide to upload duplicates of the same photos. This boosted the likelihood of showing the proper label.
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I went for a walk and took photos of the different types of flowers in my neighborhood. I organized the images into like types of flowers. Then, imported them into the Teachable Machines and trained my model to identify the information.
Uploading the images on my PC was a lot better than on my phone. Here you can see the model working with an image I had it identify.
2
UI Design · Mobile design · researcH
2020
2
UI Design · Mobile design · researcH
2020
UI Design · Mobile design · researcH
2021
UI Design · Mobile design · researcH
2021