London Chamberlain

London Chamberlain

Honors Economics @ The University of Texas at Austin

‘Resume Match’ Software (2024)

During the Spring 2024 Semester, I developed a Python program called “Resume Match” that compares student resumes to a job description, suggesting relevant keywords to include.

Note: I am currently incorporating JavaScript, HTML, and CSS to make this software accessible to more users via the web. You can check out the current public state of this tool here.

This software was inspired by my experience applying for summer internships, where I spent hours sifting through applications for keywords to enhance my resume. By highlighting relevant keywords and skills, the tool helps individuals better-align their resumes with job descriptions, demonstrating to employers that they are a good fit for the position.

Project Details

Libraries Used

The script uses several libraries, including tkinter for creating the graphical user interface (GUI), nltk for natural language processing tasks such as tokenization, part-of-speech tagging, and lemmatization, and fitz from the PyMuPDF library for extracting text from PDF resumes.

Overview of Algorithm

  • Upload Resume: Users can upload their resume in PDF or DOCX format. The script reads the file and extracts the text content.
  • Extract Verbs and Nouns: The script analyzes the text of the resume to extract verbs and nouns using NLTK’s part-of-speech tagging and lemmatization.
  • Upload Job Application: Users can paste a job application description into a text box. The script then extracts the verbs and nouns from the job application text.
  • Compare Texts: The script compares the verbs and nouns extracted from the resume with those from the job application, identifying words missing from the resume. It also generates a list of the 10 most frequently used words in the job application.
  • Display Recommendations: The script presents a list of the most common words found in the job applications, along with recommended additions to the user’s resume for improved alignment with the job application.

Example Results

Example: Data Analyst - Texas Democratic Party Example: Summer Analyst - Locust Walk

Current Development

I am currently incorporating JavaScript, HTML, and CSS to make this software accessible to more users via the web. I also aim to supply users additional feedback regarding their resume’s content and recommendations. You can check out the current public state of this tool here.