Joblert

Inspiration

According to Chinese statistics, men have an advantage of 13% over women in the passing rate of resume. This is because whether they notice it or not, employers have a preference for male applicants while selecting their favoured resumes, making women suffer gender discrimination during their resume reviewing process in employment.

What it does

JOBLERT has the function of wiping out applicants’ first name and gender content in resumes automatically to avoid conscious and unconscious gender discrimination. Our program can be applied as an insert application in every company’s resume submitting page, especially for technology-related companies that are easy to be gender-biased. By doing so, we aim to ensure female applicants have equal chances as male applicants in the resume reviewing process.

How we built it

Firstly, we use C++ to code the project about how to deal with hiding given names and gender. We use structure. When inputting details of a person, every information will be stored in different properties of the structure. When doing the output, the project will automatically create 2 new files, one includes the detailed information and the other hides the given name and the gender. Secondly, we also apply some measures to blur the given name and gender in the resume itself.

Challenges we ran into

Firstly, it needs some coding skills. Secondly, the prototype seems to be complicated because there haven't been very automatic way to blur the given name and gender in the resume itself.

Accomplishments that we're proud of

Firstly, removing applicants’ first names and gender ensures gender equality during the resume reviewing process. By ensuring gender equality, companies can enhance their reputation and thus attract more talents. Last but not least, JOBLERT helps employers convert gender discrimination mindset gradually. And we hope that one day, gender equality can also be ensured without the aid of technology.

What we learned

Not only did we learn how to transfer our coding to GitHub repository, but also we have learned to apply our coding skills to solve real-world problems like gender inequality in the workplace.

What's next for Joblert

In the future, our project can provide services to numerous companies to help them achieve the goal of gender equality during their selection processes. Not only the system can hide the gender and name information after we type into the boxes, but also it can automatically recognise the sensitive information within the resume files we have uploaded. The development of this project can be made, for example, on users’ page, if we are going to apply for a position, we click on “upload your resume”, then we can either drag our resumes in it or select a file from our computer browser. Once we uploaded successfully, the website will appear like this or (click) this. Which demonstrates the file has been received backstage. After that, let’s switch to the backstage side, the human resources department of the company will get access to the backstage, then they can check each applicants’ resume, click on it, we will see the name and gender details has been already blurred by our system so that the evaluation process will not be affected by this sensitive information.