Jinder

Team Number: 35

Team Members: Arjun Sundaram, Tina Martinez, Rhea Shastri, Jax Wang, Ryan Lam

Inspiration

With COVID-19 causing many layoffs and unemployment rates soaring, we thought that creating a web app that accurately matched job searchers to potential employers would help people get back in the workforce with meaningful jobs.

What it does

Our web app is inspired by Tinder. Job seekers create their profiles with their interests and employers add jobs to the website. Next, we have a "Tinder-like" UI where job searchers can like or dislike jobs. Our algorithm recommends relevant jobs to job seekers and vice-versa. If both the job searcher likes the job and the employer likes the job searcher, our algorithm will detect a match and connect both parties.

How we built it

• Frontend: Vue, SCSS
• Backend: Express, Node
• Database: Firebase/Firestore

Challenges we ran into

• Designing the database
• Designing the wireframe of the project
• Coding the API endpoints and querying the data into the database

Accomplishments

• Getting the web app working
• Having a database design that works
• Having a fully-fledged API working

What we learned

Learned Express, Firebase, wireframing, NoSQL databases

What's next for Jinder

• Use AI/ML to help with the recommendation algorithm
• Better UI/UX with more functionality and features

Built With

• express.js
• firebase
• node.js
• scss
• vue