Identify gender of social worker
using AI
Below is a free classifier to identify gender of social worker. Just upload your image, and our AI will predict if the social worker is male or female - 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-social-worker", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/gender-of-social-worker/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-social-worker/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the social worker is male or female.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Female Social Worker and Male Social Worker.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the social worker is male or female).
Whether you're just curious or building gender of social worker detection into your application, we hope our classifier proves helpful.
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Need to identify gender of social worker at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Demographic Analysis: This use case involves leveraging the gender classification of social workers to analyze workforce demographics in social services. Organizations can use this information to assess gender representation and address any disparities, ultimately promoting diversity and inclusion within their teams.
- Targeted Recruitment: By identifying the gender of existing social workers, agencies can tailor their recruitment efforts to balance their teams. This targeted approach can help in attracting candidates from underrepresented gender groups, fostering a more diverse and equitable workplace environment.
- Client Engagement Strategies: Understanding the gender composition of social workers can assist organizations in developing gender-sensitive client engagement strategies. By aligning social worker gender attributes with client preferences or needs, agencies can improve interaction quality and service effectiveness.
- Training and Development Programs: Organizations can analyze the gender distribution among social workers to design specialized training and development programs. This can ensure that both male and female social workers receive the necessary skills and knowledge to address gender-specific issues in their practice.
- Program Evaluation and Improvement: Use the gender classification to evaluate the effectiveness of social work programs by examining outcomes across different gender groups. This analysis can reveal variations in service delivery and outcomes that lead to important insights for program enhancements.
- Fund Allocation: Non-profit organizations and social services can utilize gender identification data to support grant applications and fund allocation. By showcasing their commitment to gender diversity among social workers, they can attract funding geared towards promoting equity in social services.
- Public Awareness Campaigns: The classification of social workers by gender can be used in public awareness campaigns to highlight the role and contributions of diverse social workers in communities. This can enhance community perception and engagement, emphasizing the importance of diverse representation in social work.