- Our goal for this project is to create a sophisticated Python program that enhances resumes, with the intention to be more appealing to potential employers.
- We created a dynamic dataset with the implementation of advanced web scraping techniques. This tool goes through job listings on Indeed.com to identify crucial requirements and keywords.
- It aims to bridge the gap between job seekers' resumes and the expectations of companies, ensuring your resume stands out in the competitive job market.
- To create a dynamic dataset of frequently used keywords by web scraping Indeed and cleaning it manually and with Natural Language Toolkit
- To compare the user’s resume to this dataset relating to their desired job field
- To create an ATS compliant resume based on the user’s input
- Keyword Analysis: Dynamically scans job descriptions for essential keywords and phrases to understand what employers are currently looking for.
- Resume Scanning: Compares your resume against job-specific keywords to ensure relevancy and fit.
- Scoring and Feedback System: Provides feedback based on how well your resume matches job requirements and suggests words to add based on frequently used keywords.
- Download the code either by cloning the repository or downloading the zip file.
- Install necessary dependencies, which may be limited to pip but more testing is needed (may include selenium, nltk, pandas, and python-docx).
- Run the Application: Start the application and follow the prompts directed by the application.
- Review Results: Analyze the score and feedback provided by the tool to make necessary improvements to your resume.
For More, check out https://devpost.com/software/resume-enhancer-7kmz4d