One of the 5 pillars of the UN SDG’s is People. SDG’s 2, 3, 4, 8 and 16 fall under this pillar.
Many Technovation participants have a deep interest in solving social justice issues and SDG’s related to people. Some of our Technovation alumnae have teamed up to solve people-related SDGs.
They want to share some of their technical expertise with you as you embark on your own app solutions.
Check out their solutions below!
Click on each app icon to learn more and follow the tutorial.
Learn all about coding libraries and how to import them and use them in your app.
Learn how to use an API and work with JSON to create a translation app in Thunkable.
Learn how to create a synthetic dataset, train an AI model and use it in a web app
RavenSight
Ravensight is a mobile agriculture technology application that aids urban farmers to detect environment abnormality, track growth and predict harvest. It provides real-time monitoring, predictive insights, and custom alerts.
Ichaka
Ichaka is an app that allows users to learn more about Igbo culture and language.
Favour’s tutorial specifically covers how to use the Microsoft Translation API to create your own translation app in Thunkable.
Thinking about adding AI to your SDG 4 app? Here is one idea.
This tutorial shows you how you can incorporate generative AI into your app. This personal tutor app uses the Chatbot component of App Inventor to tailor learning for each user.
InWORKsive
inWORKsive is an app that uses a machine learning model to match employees with disabilities to employers. The model matches based on accommodations the employee requires and the employer offers.
This tutorial takes the inWORKsive team app that was originally coded in App Inventor and moves it to a web app using Streamlit. The model is built using a Jupyter Notebook.
