- 查看一些现有解决方案,为您带来灵感
- 获取创意和模板,让您的解决方案更上一层楼
SDG 8 POWER SOLUTION
Sophia Silva is a Technovation alumna who has participated twice in Technovation Girls. In 2024, she and her team, Business Girls built an app to assist people with disabilities find decent employment.


I’m Sophia Silva, I’m eighteen years old and I’m from Chile. I have participated three times in Technovation Girls Chile, reaching the semi-finals in one instance and the quarter finals in another. Because of these instances, I have decided to study computer engineering at university.
Below is the pitch video for the inWORKsive app.
Learn about Sophia’s Technovation experience, her expectations and challenges, and how she and her team overcame issues while building an AI model to match employees and prospective employers.
How did you learn to code in order to build your app?
How did your app change from the initial idea to the final product?
When you started the project, what were you excited about, and what were you concerned about?
What were some challenges in building a machine learning model?
If you were to keep working on inWORKsive, what would be the next steps?
What impact do you think your app could have on your community?
What are your plans for university?
Has Technovation influenced your future plans?
What is your advice for girls participating in Technovation Girls?
教程
Based upon the initial work done by Sophia and the Business Girls inWORKsive team using Machine Learning for Kids and App Inventor, we have a tutorial to show you how to take the app to the next level using Python and Streamlit.
Click the button below to see the SDG 8 employee matching tutorial, along with other SDG power solutions.
Otherwise, keep reading below for some other possible app ideas for SDG 8 solutions.
其他解决方案
Here are a few more solutions to spark ideas for you for SDG 8. Click each tab to see some possible features and what coding components you could use to build a similar app.
FAIRWORK
This crowdsourced app would allow users to rate and review employers based on fair wages, ethical practices, and safe working conditions.




SKILLBOOST
This app could use a machine learning model to analyze trends in the job market to recommend micro-courses for high-demand skills.



CHILD LABOR CHECK
This app would allow users to check brands they are buying to make sure they are ethically sourced and do not use child labor.



