Portfolio Builder and Career Recommender by Scraping Data Using Flask and Tensorflow

Abstract

Abstract: In this day and age, the use of physical copies for portfolios and resumes has largely been replaced with the use of online documents to showcase the skills and experience of the individual in question. However, this too is beginning to give way to a newform of a portfolio- a website that communicates all of the above information in a document, but in an aesthetic and elegant way. While this was only usually required or recommended for a specific portion of the workforce, an increasing number of employers have begun to prefer this creative approach, making it more appealing to any aspiring applicants. In this project, we plan to build a website that will take data from users and build a custom portfolio using a variety of pre-developed templates and designs. The user just needs to provide their LinkedIn profile which will then be used to scrape the data of the user, usin Flask, Selenium, and BeautifulSoup. After the information and details of the user has been extracted, our website will provide various templates to choose from. The user will then have the option to build the website or download the zip file of the created website which could be used in future or could be hosted by the user. Hence, in this paper we aim to build a website that would help create a resume quickly and professionally without the hassle and struggle of figuring out how to format everything or what fonts and styles to use. We will help generate a dynamic resume that will highlight the skills, achievements and talents and also be able to showcase the user’s thoughts and personality. Moreover, using Naive Bayes, we will provide a career recommendation to the user, which will guide steer them towards the most suitable profession for their skills Keywords: Portfolio, Flask, Selenium, TensorFlow, Naive Bayes, Beautiful Soup, Machine Learning