audubon background · udacity ai/ml product manager nanodegree the ai/ml product manager capstone...

9
2016 Mobile App Designs 2016 Mobile App Designs Udacity Business Proposal 2016 Mobile App Designs Audubon Background Audubon focuses on the changes in our natural ecosystems and 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 Nanodegree The AI/ML Product Manager capstone project brings together lessons in basic AI/ML principles, creating datasets, training models, measuring impact, and applying those foundations in a business proposal. I’ve revisited a mobile application concept from 2016 in an effort to improve the designs while also elevating features with AI/ML technology. UdacityBirdingBusinProposal.pdf 2016DesignsCBCaseStudy.pdf

Upload: others

Post on 08-Jul-2020

8 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Audubon Background · Udacity AI/ML Product Manager Nanodegree The AI/ML Product Manager capstone project brings together lessons in basic AI/ML principles, creating datasets, training

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

Page 2: Audubon Background · Udacity AI/ML Product Manager Nanodegree The AI/ML Product Manager capstone project brings together lessons in basic AI/ML principles, creating datasets, training

Mobile Application Site Map

Page 3: Audubon Background · Udacity AI/ML Product Manager Nanodegree The AI/ML Product Manager capstone project brings together lessons in basic AI/ML principles, creating datasets, training

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

Page 4: Audubon Background · Udacity AI/ML Product Manager Nanodegree The AI/ML Product Manager capstone project brings together lessons in basic AI/ML principles, creating datasets, training

AI/ML Happy Path Workflows

Page 5: Audubon Background · Udacity AI/ML Product Manager Nanodegree The AI/ML Product Manager capstone project brings together lessons in basic AI/ML principles, creating datasets, training

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

Page 6: Audubon Background · Udacity AI/ML Product Manager Nanodegree The AI/ML Product Manager capstone project brings together lessons in basic AI/ML principles, creating datasets, training

AI/ML Mobile Application Screens

Page 7: Audubon Background · Udacity AI/ML Product Manager Nanodegree The AI/ML Product Manager capstone project brings together lessons in basic AI/ML principles, creating datasets, training

Summary submission overviewICR/OCR image capture reviewSummary landing

Summary submission screens

Page 8: Audubon Background · Udacity AI/ML Product Manager Nanodegree The AI/ML Product Manager capstone project brings together lessons in basic AI/ML principles, creating datasets, training

Bird count detail inputCV image capture classification reviewCount session landing

Count session screens

Page 9: Audubon Background · Udacity AI/ML Product Manager Nanodegree The AI/ML Product Manager capstone project brings together lessons in basic AI/ML principles, creating datasets, training

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