Speak Easy

Inspiration The theme made us look at problems that needed lasting solutions, solutions that have big impacts on the communities they target. We brainstormed many ideas, but our most original ideas was that we all felt inclined towards an app that would help mute and deaf communities communicate with vocal communicators. Instead of being

Learning We learned that AI can help people in many ways, including bringing people together through assisting with language boundaries. We also learned about datasets, front and back end development and the integration of these two development areas

Process We planned out our project by using the copilot AI editor and kaggle, and used HTML, Javascript and python.

Challenges One of the most difficult challenges we faced when developing the app was that the grammand syntax didn’t directly correlate between text and ASL, so we simplified our app by finger spelling words that are their own gesture. Another challenge was finding a competent data set to sign to the users of the app. We ended up using a good data set from kaggle.

Built With

• css
• html
• javascript
• kaggle