daehako / resumefit Goto Github PK

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.