Techlink

login-page
sign-up-page
home-page
users-profile-page
job-listings-page
job-desc-page
company-profile-page
company-job-listing-page
create-job-listing-page

Inspiration

A platform for solely tech related jobs is required. This would enable people in the tech industry to better find jobs related to their field of interest. It also allows companies to find people with the relevant skills for tech related jobs.

What it does

Aspiring techies can use our platform to signup for an account. With an account, they are able to view existing job listings that posted by companies on the platform.
They will also be able to apply for the job listings that they are interested in after viewing the listings on our platform.
Companies are also able to signup on our platform as well to post listings to hire potential employees on our platform.
In addition, our platform also consist of a machine learning classification model to predict the roles they can apply for using the skills that they have uploaded on our platform. ## How we built it This platform was built as a web application. To achieve this, the MERN framework was employed.

Machine Learning model

The machine learning model was built using python with the aid of the sckit-learn package. To do so, data was collected and cleaned before feeding it into a classification model. After which, the model was hosted to enable real-time prediction of jo recommendations based on the questionnaire filled up by users.

Frontend

React was the main platform in which our application was built on. In addition to this, React-bootstrap and CSS was used for UI design.

Backend

Our database was built on MongoDB. This database stored both user and companies profile information. It also stores the collection of job listings that each company has made. This real time information would enable users and companies to find the perfect match that suits their requirements.

Challenges we ran into

Some of the challenges we faced were configuring the backend server hosted using mongodb, to store and query user and job listing data, creating interactive frontend pages. Time was not of the essence, as we rushed to complete our features to have a working and functional prototype.