blueX

Inspiration

High Unemployment rates for blue-collar workers in the US was the inspiration for our solution. Many struggled the past few months without a job due to the Coronavirus and found it difficult to make ends meet. As the economy recovers and markets open up, many of the unemployed face the daunting challenge of finding new and suitable jobs.

Furthermore, we were also appalled to know that hiring errors in the US have resulted in huge losses for companies. We found that although there were many attempts to optimise the white collar job hiring process, there were few to none addressing the blue collar industry- an industry that continues to play a critical role in our economy.

As such, we were inspired to use this Hackathon as an opportunity for an innovative solution to resolve this issue.

What it does

blueX streamlines hiring processes and helps match job applicants to organisations they have a good fit for. This matching sequence is based on the 5 big character traits that help identify person-organization fit, enhancing employee performance, happiness and commitment. This is enhanced by machine learning which aims to produce the best fitting applicants for companies.

How I built it

The UI/UX was designed using figma. The back-end will utilise machine learning.

Challenges I ran into

It was difficult to establish a working algorithm within 48 hours.

Accomplishments that I'm proud of

As individuals with minimal coding experience, we are proud to have been able to put up a MVP with the help of figma. More importantly, as our first Hackathon, we are proud to have been able to produce a sound and cohesive solution to address the problems in America's job market.

What I learned

We leaned various business concepts and presentation skills through the workshops and consults.

What's next for blueX

The team would first like to take 48 hours off. After which, we would be excited to bring this product to market as our attempt to address the issues with job hunting and hiring.

Built With

• figma
• machine-learning