audubon background · udacity ai/ml product manager nanodegree the ai/ml product manager capstone...
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2016 Mobile App Designs2016 Mobile App DesignsUdacity Business Proposal2016 Mobile App Designs
Audubon BackgroundAudubon focuses on the changes in our natural ecosystemsand works to conserve and restore wildlife and their habitats. With the help of people like us, scientific studies can be conducted all over the world to create databases that allow a greater view of the animals and locations in need.
Udacity AI/ML Product Manager NanodegreeThe AI/ML Product Manager capstone project brings togetherlessons in basic AI/ML principles, creating datasets, trainingmodels, measuring impact, and applying those foundations ina business proposal. I’ve revisited a mobile applicationconcept from 2016 in an effort to improve the designs whilealso elevating features with AI/ML technology.
UdacityBirdingBusinProposal.pdf 2016DesignsCBCaseStudy.pdf
Mobile Application Site Map
Your CircleOverview
2
AudubonNews
Your ImageGallery
SettingsChooseYour Circle
SubmitYour Summary
4
MenuProfile: YourLife List
YourSummary
3
Rare Birds/BirdCalls
Home:Count Session
1
ChooseYour Circle
Login and/orLoading
AI/ML INTEGRATIONS
Your Life List: ICR/OCR will allow birders to take pictures of their life lists and digitize them for their profile.
Count Session: CV will allow birders to capture images with their mobile cameras to count birds.
Your Summary: ICR/OCR will allow birders to upload count summaries if they didn’t use the app features.
Submit Your Summary: ML could be used to identify and redact PII before sendingsummaries to the volunteer.
Home (Count Session) | Bird Info (Rare Birds, Bird Calls) | Summary | Profile | Menu
MAIN NAVIGATION
2020 Sitemap
AI/ML Happy Path Workflows
01:24:13 End
Bird common nameScientific name
Number of birds: 3
Gender: Male
Time: 11:00
- +
^
^
Location Transport
FeederField
Add to summary
Bird reviewRetake
Count it!
Bird common nameScientific name
Your picture:
Our best classification:
View more classification options
Back
Take a picture of a bird for help identifying the species.
Cancel | Continue
Back01:23:59 End
CV will allow birders to capture images with theirmobile cameras to count birds.
CV for Count Sessions
Life listReviewRetake Upload
Edit
Edit
Edit
Edit
Edit
Edit
Edit
Edit
Take a picture of your written life list and we’ll upload it to
your profile.
Cancel | Continue
Back BackLife list
Your Life List: ICR/OCR will allow birders to takepictures of their life lists and digitize them for their profile.
Your Summary: ICR/OCR will allow birders to upload count summaries if they didn’t use the app features.
ICR/OCR for Handwritten Lists
AI/ML outputUser actionLEGEND
Happy path workflows
AI/ML Mobile Application Screens
Summary submission overviewICR/OCR image capture reviewSummary landing
Summary submission screens
Bird count detail inputCV image capture classification reviewCount session landing
Count session screens
Black Duck 1. Ohio. ODNR Division of Wildlife. https://wildlife.ohiodnr.gov/portals/wildlife/Species%20and%20Habitats/
Species%20Guide%20Index/Images/photogallery/blackduck1.jpg. 27 February 2020.
Biziaux-Scherson, Sandrine. Digital image. Audubon. N.p., n.d. Web. http://www.audubon.org/sites/default/files/styles/
featured_frontpage/public/sfw_apa_2016_a1_2618_3_vermilion-flycatcher_sandrine_biziaux-scherson_0.jpg?itok=Mokamhnz.
23 May 2016.
Maneno, Andy. American Black Duck. Digital image. Cabela’s. N.p., n.d. Web. 29 May 2016.
Photography citations