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Dharak Vasavda | d_vasavda@u.pacific.edu
Nathan Luu | n_luu1@u.pacific.edu
Job Hunter is an online web service which helps folks find jobs according to their given filters. The goal of this service is to help aggregate multiple job-finding websites such as LinkedIn and Glassdoor together. This will create simplicity and ease-of-use for the end user to search for a job. To add, Job Hunter is a cross platform tool hosted online and supported by most modern web browsers. The key difference between Job Hunter and other job hunting websites is that Job Hunter will actively scan jobs on multiple Job posting websites and congregate them into one. This will make job hunting easier.
Job Hunter will require a structured architecture. Multiple tools and frameworks will be needed to create a modern UI-friendly and data processing aspect to the application. There will contain a frontend which will be the interaction component for an end user, and the backend which will integrate with MySQL, Python, and React. An Amazon Web Service (AWS) server may be required to keep the data processing and the website hosting. Python can also serve as the function to host the webpage using a microservice such as Flask.
Software Modules
Hardware Components
User Interfaces
Hardware & System Requirements: Windows: Windows 7, Windows 8, Windows 8.1, Windows 10 or later An Intel Pentium 4 processor or later that's SSE2 capable Mac OS X Yosemite 10.10 or later Linux: 64-bit Ubuntu 14.04+, Debian 8+, openSUSE 13.3+, or Fedora Linux 24+ An Intel Pentium 4 processor or later that's SSE2 capable Software Requirements: End User - Google Chrome, Internet Explorer, Firefox, or any web browser compatible with Javascript Developer - MySQL, Linux Server, Python >2.7, React (Javascript Framework)
MySQL
SQL will serve as the data storage mechanism. For the job API data pulled over by Python, the job data will need to be stored somewhere. MySQL will be the data storage.
Refer to the extensive documentation: https://dev.mysql.com/doc/
React
JavaScript library which will serve as an endpoint for end users to interact with. This includes forms, buttons, animations, and images contained on the webpage.
Refer to the extensive documentation: https://reactjs.org/docs/getting-started.html
Amazon Web Services (AWS)
AWS will serve as the web server which will run in the background to host the job data.
Refer to the extensive documentation: https://docs.aws.amazon.com
Software Design
This section gives specifications for all software components, in sufficient detail to begin coding. The suggested documentation defined here assumes an object-oriented design using UML. If the software design does not fit with object-oriented principles (for example, a Prolog based logic program) alternate documentation will need to be determined.
Although this section defines software, it should not be tied to a specific programming language. One of the purposes in using UML for design is to allow for language independent designs.
Some design considerations to keep in mind are related to consistency. Several job searching websites such as LinkedIn, Indeed, and Glassdoor all have similarly consistent designs. The two focal points of these sites include a search bar and several buttons which act as filters. Making the search feature apparent will be important, as well as position title and company image. These are crucial in creating friendly job searching UIs.
In this mockup, it shows the front page where you are allowed to search for any jobs with any filters you want. The second page shows the search query. The last page shows the profile page in which our algorithm will find best matches by searching for similar words between the profile and job description.
Amazon Web Services (AWS) - Scalable cloud computing service which can be used to host web apps and web pages. In our case, AWS can be used to host SQL data for easy access.
No references were used for this project other than the linked documentation.