Identify gender of engineer
using AI
Below is a free classifier to identify gender of engineer. Just upload your image, and our AI will predict the gender of an engineer. - 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-engineer", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/gender-of-engineer/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-engineer/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the gender of an engineer..
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Female Engineer and Male Engineer.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the gender of an engineer.).
Whether you're just curious or building gender of engineer detection into your application, we hope our classifier proves helpful.
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Need to identify gender of engineer at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Recruitment Optimization: Companies can leverage the ‘gender of engineer’ identifier to analyze the diversity of their applicant pool. By understanding gender representation in engineering roles, HR departments can craft targeted recruitment strategies that promote inclusivity and meet diversity quotas.
- Workforce Diversity Analysis: Organizations can use this function to assess gender diversity within their engineering teams. This analysis helps identify gaps in gender representation and drives initiatives for equal opportunities, thereby improving workplace culture and innovation.
- Marketing Strategy Development: Companies can utilize the classifier to analyze engagement metrics from engineering-related content. By understanding the gender demographics of their audience, they can tailor their marketing strategies to better resonate with specific groups, enhancing campaign effectiveness.
- Academic Research: Educational institutions can employ this function for research purposes to study gender representation in engineering courses. Researchers can collect and analyze data about gender demographics in academic settings to inform policies that encourage enrollment and retention of underrepresented genders.
- Customer Insights for Product Development: Engineering firms can utilize the identifier to better understand the gender dynamics of their customers. By identifying gender trends in customer feedback and product usage, companies can design more inclusive engineering solutions that cater to a wider audience.
- Training Program Assessment: Organizations can analyze the gender distribution within their engineering training programs using this classifier. This insight allows for the evaluation of training efficacy and helps in driving programs aimed at attracting and retaining female talent in technical fields.
- Gender Bias Monitoring in Automated Systems: The identifier can be integrated into automated hiring systems to monitor for potential gender biases in resume screening or interview scheduling. This additional layer of analysis helps ensure that the recruitment processes remain fair and equitable, fostering a more inclusive workforce.