Identify if resume is for design
using AI
Below is a free classifier to identify if resume is for design. Just input your text, and our AI will predict if the resume is suitable for a design role - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-resume-is-for-design", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-resume-is-for-design/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/if-resume-is-for-design/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the resume is suitable for a design role.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Design Focused and Not Design.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the resume is suitable for a design role).
Whether you're just curious or building if resume is for design detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if resume is for design at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Resume Screening Automation: Implementing a true text classification function can streamline the recruitment process by automatically identifying design-focused resumes. This allows HR teams to efficiently filter candidates, ensuring that only qualified individuals for design roles are considered for interviews.
- Tailored Job Recommendations: Job platforms can utilize this function to match candidates with design positions that suit their skills. By categorizing resumes, users can receive personalized job alerts, increasing the chances of a successful placement.
- Skills Gap Analysis: Organizations seeking to understand their talent pool can use this identifier to analyze the skills present in design resumes. By mapping out design expertise, companies can better identify skill gaps and implement targeted training programs.
- Dynamic Portfolio Creation: Design professionals can leverage this text classification to curate and showcase their best works based on their resume profiles. By identifying relevant projects and experiences, they can create tailored portfolios that impress potential employers.
- Benchmarking Design Talent: Talent acquisition teams can use the classification function to benchmark resumes against industry standards. By analyzing the design qualifications, teams can assess the competitive landscape and adjust their hiring strategies accordingly.
- Enhanced Candidate Experience: By automating the preliminary resume review process using the design identifier, companies can provide a faster feedback loop to candidates. This not only improves the candidate experience but also enhances the employer brand's reputation.
- Predictive Hiring Analytics: By applying data analytics on design resumes classified through this function, organizations can identify trends and predict the types of design talent likely to succeed. This can lead to more informed hiring decisions and ultimately improve team performance.