Compare a resume against a job description
Complexity in Texts:
- Job descriptions and individuals' resumes are both complex and unstructured
- This is because they can vary greatly in format, wording, and the way information is presented
- For example, the same skill might be presented in resumes very differently
- "Experienced in Java programming" vs
- "Java development proficiency"
- Similarly, job descriptions might list required skills in various ways
Contextual Understanding:
For this project, we need the AI to be able to understand context to differentiate between:
- Essential skills, such as:
- Project management
- Software development
- Financial analysis
- Desirable skills, such as:
- Public speaking
- Agile project management
- Multilingual communication
- Certifications, such as:
- PMP (Project Management Professional)
- CPA (Certified Public Accountant)
- CCNA (Cisco Certified Network Associate)
- Personal attributes, such as:
- Team player
- Highly organized
- Innovative thinker
Matching Varied Expressions:
The system must recognize when different expressions refer to the same skill or qualification.
- This involves being able to understand
- Synonyms
- Related technologies
- i.e., recognizing that experience in React is relevant to a job asking for JavaScript framework experience
- Levels of expertise.
Identifying Skill Gaps:
The system must also recognize when and be able to highlight what's missing
- This can be challenging:
- Job descriptions are often vague
- Job descriptions might list many qualifications without specifying which are most important
Quantitative vs. Qualitative Assessment:
Quantifying the match between a resume and a job description is very complex.
- Giving a percentage may not give much information about the correlation between the two
- i.e., if a candidate lacks one critical skill but has many less important ones
Setting Thresholds:
Determining what percentage or level of match qualifies as a good fit for a job is another challenge
- This is because different jobs and industries might require different thresholds for job entry
Personalized Recommendations:
Providing tailored advice on improving a resume for a specific job description requires:
- Being able to identifying gaps in the resume
- Understanding the career path and industry trends
**Prioritization of Suggestions: **
Some resume gaps are more critical to address than others
- The application we create should help users prioritize which skills or qualifications to work on first
- This can be based on their current skill level
- This can also be based on how important their missing skills are on the job application
Bias Mitigation:
In order to provide an equal service to all users, we will need to ensure that the system doesn't perpetuate biases present in job descriptions or resumes
- This includes being mindful of how skills are valued
- Also includes avoiding discrimination based on personal attributes
User Privacy and Data Security:
Safeguarding user data, especially sensitive information in resumes, is very important. The system must be designed with privacy and security in mind.