Projected Assigned by HeadStarter and Mofizur Rahman, Developer Relations Engineer at Google.
Created by Jawad Chowdhury, Daniel Chen, and Shadman Sakib.
The hiring process for large companies is often a lengthy and costly process. Every year some FAANG companies recieve upward of 10M applications.
Resume Parser allows applicants to upload their resume to the company's cloud storage. After applicants upload their resume, recruiters can look and search for resumes using keywords on the recruiter dashboard.
Frontend
- React
- Bootstrap
Backend
- Node
- Firebase
Applicants will click on the applicant button to go to the applicant dashboard. Then they will upload their resume by selecting the pdf on their computer and clicking the upload button.
Recruiters can click on the recruiter button to open the recruiter dashboard. There they can search for keyword which will filter and only show resume containing the keyword. Another feature is the fetch all button which shows all resumes currently in the cloud storage.
- This was our first time using React, Node, Firebase, and Bootstrap
- Finding a good PDF API was difficult since many had little documentation and bugs
- Couldn't use Firebase Storage & Firebase Firestore at the same time. This made returning the applicants resume difficult since we had no way of referencing the pdf that corrosponded to the txt file.
- Add multiple search query feature for the recruiter dashboard
- add authentication to access the recruiter and applicant dashboards
- Run
npm install
inside the project's terminal
Installs all the necessary dependencies for the code to compile properly. - Create a
.env
file in the root directory
Used to connect Resume Parser to your Firebase Storage
REACT_APP_API_KEY=Your API key
REACT_APP_AUTH_DOMAIN=Your domain
REACT_APP_PROJECT_ID=Your Project ID
REACT_APP_STORAGE_BUCKET=Your storage bucket
REACT_APP_MESSAGING_SENDER_ID=Your Message Sender ID
REACT_APP_APP_ID=Your App ID
- Run
npm start
in the project's terminal Opens Resume Parser app in your browser
By default it will open http://localhost:3000