Identify gender of programmer
using AI
Below is a free classifier to identify gender of programmer. Just upload your image, and our AI will predict if the programmer 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-programmer", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/gender-of-programmer/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-programmer/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the programmer is male or female.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Female and Male.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the programmer is male or female).
Whether you're just curious or building gender of programmer detection into your application, we hope our classifier proves helpful.
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Need to identify gender of programmer at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Talent Acquisition Optimization: This feature can be utilized by recruitment platforms to enhance their candidate filtering processes. By analyzing programming proficiency based on gender representation in specific programming languages or technologies, companies can better understand workplace diversity.
- Diversity and Inclusion Reporting: Organizations can leverage this classification to generate reports on gender diversity within their programming teams. This data can be instrumental in shaping initiatives and policies aimed at improving inclusivity and representation in tech roles.
- Targeted Training Programs: Educational institutions and training providers can use the gender classification to tailor their courses and workshops. By identifying male and female programmers, they can address potential skill gaps and create programs that encourage underrepresented groups to thrive in programming fields.
- Marketing and Advertising Insights: Companies can analyze gender demographics of programmers to inform marketing strategies for tech products. This could help in designing targeted campaigns that resonate better with different gender audiences in the programming community.
- User Experience Research: Tech firms can use this identifier to enhance their user experience research, ensuring their products meet the needs of diverse developers. By understanding the gender composition of their user base, companies can create more inclusive development environments.
- Community Engagement Initiatives: Tech organizations can identify gender trends in local programming communities to foster engagement. This data can inform strategies for hosting gender-specific events or workshops aimed at promoting participation from underrepresented groups.
- Academic Research on Gender Trends: Researchers can utilize this classification to study gender representation in programming fields over time. This can lead to insights that drive policy changes in education and employment practices within the tech industry.