Identify gender of professor
using AI
Below is a free classifier to identify gender of professor. Just upload your image, and our AI will predict the gender of a professor. - 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("gender-of-professor", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/gender-of-professor/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.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_image_url"}' \
https://www.nyckel.com/v1/functions/gender-of-professor/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the gender of a professor..
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Female Professor and Male Professor.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the gender of a professor.).
Whether you're just curious or building gender of professor detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify gender of professor at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Faculty Diversity Analysis: This use case involves analyzing the gender distribution of professors within educational institutions. By utilizing the gender identifier, institutions can evaluate their efforts in promoting gender diversity among faculty members and identify areas for improvement.
- Recruitment Strategy Optimization: Higher education institutions can leverage gender identification in their professor recruitment processes. By understanding the gender composition of candidates, educational institutions can tailor their outreach and recruitment strategies to attract a more diverse applicant pool.
- Student Engagement Improvement: By analyzing the gender of professors teaching specific courses, institutions can assess how gender dynamics might impact student engagement and participation. This information can help in implementing strategies to promote inclusivity and improve learning outcomes.
- Alumni Relations and Mentoring Programs: Understanding the gender of professors can help universities in creating targeted alumni relations and mentoring programs. For instance, current students may benefit from mentorship opportunities with faculty members who share similar backgrounds, enhancing the educational experience.
- Gender Bias Research: Researchers can utilize gender classification of professors to study potential biases in academic evaluations, promotions, and resource allocation. This data can support initiatives aimed at promoting equity within academic environments.
- Marketing and Branding: Institutions can use gender demographics of their faculty in marketing materials to highlight diversity and inclusivity. This can attract prospective students who value a diverse educational environment and strengthen the institution's brand.
- Curriculum Development Enhancement: By identifying the gender of professors involved in different subject areas, institutions can analyze the influence of gender on curriculum development. This analysis can lead to the creation of a more balanced and comprehensive curriculum that reflects diverse perspectives.