SDG 2 Power Solutions

SDG 2: Zero Hunger SDG 2 Power Solutions
  • See some existing solutions to inspire you
  • Get ideas and templates to take your solutions to the next level

SDG 2 POWER SOLUTION

Let’s follow the journey of Ashlyn, a Technovation alumna who created an app called Ravensight around the problem of hunger and SDG 2.

Ashlyn Gao

Ashlyn Gao is a graduating senior at Cypress Bay High School in Weston, Florida. Her academic journey is founded in intertwining STEM and the humanities, having performed astrophysics research and studied proof-based number theory at the Summer Science Program (SSP) and Honors Summer Math Camp (HSMC), won multiple Gold Keys from the Scholastic Art and Writing awards, received her school’s Yale Book Award, and was a semifinalist for Technovation Girls’s global technology entrepreneurship competition. As Mu Alpha Theta President, Student Government Human Resources Chair, Key Club’s Division 24B Lieutenant Governor, SewPowerful chapter leader, and four-year varsity tennis team captain, she loves serving the community and working with the diverse people she’s grown to call family. Outside the classroom, she trains in tennis, plays the harp and piano, sews dresses, and paints her heart away. A Miami Herald Silver Knight nominee, U.S. Presidential Scholar and National Merit Semifinalist, she aspires to study STEM in college and utilize her knowledge, creativity, and leadership abilities to catalyze growth in her community.

Ashlyn’s app  RavenSight is a mobile agriculture technology application developed to aid urban farmers to detect environment abnormality, track growth and predict harvest. It provides real-time monitoring, predictive insights, and custom alerts.

Here is the pitch video for Ravensight.

Click on the tabs below to learn about Ashlyn’s app, Ravensight, and her Technovation experience.

NOW IT'S YOUR TURN!

Ashlyn learned a lot about using coding libraries when building her Ravensight app. Learn more about using external libraries in your project, and see more power app tutorials from other Technovation alumnae by clicking the button below.  

Click here

Otherwise, keep reading below for some other possible app ideas for SDG 2 solutions.

OTHER SOLUTIONS

Here are a few more solutions to spark ideas for you for SDG 2. Click each tab to see some possible features and what coding components you could use to build a similar app.

Grow Wise

This app connects local community members with community gardens.

Click on each image below to see a possible feature and how you might implement it.

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The app displays local community gardens with information about joining
You can use the Map and Marker components, to display gardens and lots and a cloud database to store information about each site.
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Satellite imagery can be used to train a model to discover new potential lots
You can use a tool like Teachable Machine to train a model with satellite imagery of cities. Then the model can predict where in a city potential sites for a new community garden are.
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Helps users connect to provide help with gardening questions
You could use a cloud database to store chat information, along with a signin system to store usernames and passwords.
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Community Gardens can sell or offer excess produce to community members
Use a cloud database to store and post produce information and track inventory. Users could either come by to pick up produce, or you can create some sort of signup or sales point system for users to connect with growers.

Farm Fresh Tech

This app can help small-scale farmers with all aspects of farming to enable them to make sustainable living wage.

Click on each image below to see a possible feature and how you might implement it.

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Provide a forum for farmers to ask questions and get advice from other farmers
You can use a cloud database and ListViews to display conversations and let users add to the conversation.
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Connect farmers with microfinance institutions and lenders, providing access to affordable loans and credit
You can use a cloud database and Maps to connect users to local organizations, individuals and financial institutions willing to provide affordable loans.
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Equip the farmers with sensors so they can monitor their crops
There are many low-cost sensors like micro:bit and Raspberry Pi that you can add to your app so farmers can monitor the soil, weather, and water for their crops.
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Make a curated list of useful videos for small-scale farmers
You could create a mini-youtube interface where users can search for videos on a particiular farming topic or technique. You can start with a curated list by app authors but then allow users to up-vote videos to make them appear higher in the list. This can be done with a cloud database to store video data and a WebViewer to be able to view the videos.

Hunger Hub

This app predicts areas where hunger could be a problem, helping food distribution organizations plan better.

Click on each image below to see a possible feature and how you might implement it.

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Train an AI model on socioeconomic, demographic, geographic and historical weather data
You can use an external AI platform to train the model with data from different sources - governmental, local community surveys, weather information.
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Users can contribute to keep the model updated and accurate
Citizen scientists can post data about food scarcity in their location and pass it to the model with an API to keep the model up-to-date.
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Use model prediction to help organization's plan for food distribution
You can use the Map component, along with logistical data from the model and inventory information stored in a cloud database to help users plan for the most efficient ways to get food where it is needed most.
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Provide insights on hunger visually
You can use the Map component to highlight areas where hunger could be an issue, now or in the future, based on the model.
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