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  EqualWrites

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  EqualWrites when you first empty

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  Result after pasting text and clicking Submit!

Inspiration

Implicit biases in language and writing results in unequal opportunities in hiring. From job listings to recommendation letters, these biases have been shown to impact hiring decision. Gendered words, racialized terms, and ableist language contribute to sustained inequality. Studies show that gendered/racialized wording in job postings lead to fewer female and minority applicants. They also show that recommendation letters with “feminine” words imply a less qualified applicant in the eyes of recruiters. These biases reinforce workplace inequality, placing female and marginalized applicants at an disadvantage in the job market.

What it does

Using the power of our algorithms running research-backed data, EqualWrites returns an analysis of your writing, and provides feedback to improve the accessibility of what you write!!!

How we built it

We used React.js, Javascript, and CSS to build both our front and back-end. For our video presentation slides, we used Figma.

Challenges we ran into

It was a tough learning process of navigating through React.js while also ensuring our app functionality. But through working and consulting with our extremely knowledgeable mentors, we were able complete our project.

Accomplishments that we're proud of

Our project was much more developed than we thought we could have achieved in just 12 hours! We are extremely proud of how much we were able to learn and implement in these 2 days.

What's next for Equal Writes

Dynamic Improvements -> text identified as problematic will be highlighted, with replacement suggestions Better Identification -> use machine learning to adapt our algorithms over time

EqualWritesEqualRights

Built With

• css
• figma
• javascript
• react