Bias is a prejudice in favor of or against one thing, person, or group compared with another usually in a way that’s considered to be unfair. There are two prevalent types of biases:
- Or explicit bias is to be aware, intentional, and responsive to explicit prejudices based on race, age, gender, gender identity, physical abilities, religion, sexual orientation, and many other characteristics.
- Or implicit bias is the social stereotypes about certain groups of people that individuals form outside their own conscious awareness. Everyone holds unconscious beliefs about various social and identity groups, and these biases stem from one’s tendency to organize social worlds by categorizing.
This is especially apparent in the recruitment process, wherein in most cases, women’s opportunity to get the job is cut in half, the minute the recruiter finds out her name or sees her walk into the interview.
Women make the world go around, from birthing and raising children, preparing healthy, home-cooked meals to provide financial stability but women are still treated as “less than” in the workforce. Women are often being sidelined for higher-paying jobs as male hiring employers have biases that they are incapable or undeserving of higher-paying jobs
This pervasive bias in the hiring process extends not only to gender but also to ethnicity, religion, and even attractiveness, none of which are true determinants of an applicant’s qualifications.
Even if it is difficult to change the deeply entrenched misogynistic views of certain hiring managers, our solution will ensure that those views cannot affect the careers of applicants
We believe that by narrowing the wage gap, we can grant more financial independence to women and enable them to stand up for themselves and gender equity, not just in a professional setting but also in a domestic one.
What it does
We have created a platform to allow all applicants to apply for jobs without employers needing to know their gender, race, and various other unessential demographic information, aiming to reduce bias and discrimination in the hiring process.
Acts as a third party to allow for a fairer, merit-based hiring process where employers won’t unfairly dismiss valuable workers due to personal biases
How we built it
- Our initial prototype was built using Figma to test out what the user experience should feel like.
- We have built a react web app and have added voice calls using webRTC and socketio.
- We used agora for voice modulation.
Challenges we ran into
- We lacked knowledge in signal processing, and it was challenging to find a real-time voice modulator that we could integrate into our web app.
- We had to combine a lot of different technologies which was difficult in the small-time crunch that we had.
- For some of us, we were entirely new to building websites using CSS and React. This was our first time using them and found it difficult initially but with the help of our other teammates, we were able to do it!
Accomplishments that we're proud of
- Learning React, CSS, and Firebase all in the duration of 2 days is something our team is proud of!
- Being able to execute an idea in just 48 hours and building a website out of it!
What we learned
- Creating a React App and what state hooks are and how to use them,
- Integrating a voice modulation software,
Developing a presentable Figma prototype
What's next for Honest Hire
We aim to create a more user-friendly interface with more autofill features to help users cope with the fatigue of entering their CV information onto multiple application sites
We aim to create a function to import their information from LinkedIn to save time and encourage onboarding
Adding additional and improved features to improve the quality of the interview, such as more advanced voice modulators, a community discussion page, interview and profile tips and reviews, and so on.