Identify gender of real estate agent
using AI
Below is a free classifier to identify gender of real estate agent. Just upload your image, and our AI will predict if the real estate agent is male or female - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("gender-of-real-estate-agent", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/gender-of-real-estate-agent/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-real-estate-agent/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the real estate agent 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 real estate agent is male or female).
Whether you're just curious or building gender of real estate agent detection into your application, we hope our classifier proves helpful.
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Need to identify gender of real estate agent at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Agent Trend Analysis: By identifying the gender of real estate agents, agencies can analyze gender representation within their workforce. This data can provide insights for diversity initiatives and help in understanding how gender dynamics may influence client preferences and behaviors.
- Targeted Marketing Campaigns: Real estate firms can leverage gender-based insights to design targeted marketing campaigns. By knowing the gender of agents, companies can create personalized communication strategies that resonate better with clients based on their preferences.
- Performance Benchmarking: Agencies can benchmark performance and productivity metrics based on the gender demographic of their agents. This information can aid in identifying trends and developing training programs tailored to different needs or strengths associated with each gender.
- Client-Agent Matching: Real estate platforms can improve client-agent matching systems by including gender as a parameter. By catering to clients' preferences for male or female agents, firms can enhance customer satisfaction and increase transaction rates.
- Market Research Studies: Researchers can use gender classification of agents to study the impact of gender on sales outcomes and client trust levels. This data could reveal significant patterns that inform best practices in real estate transactions.
- Diversity and Inclusion Reporting: Organizations can utilize gender classification data for compliance and reporting purposes regarding diversity and inclusion efforts. This can help firms promote equity in hiring practices and publicly report their diversity metrics to stakeholders.
- Enhanced Recruitment Strategies: By understanding the gender dynamics in their team, real estate firms can refine their recruitment strategies. They can aim for a balanced gender representation that aligns with their organizational values and client demographics, ensuring a more inclusive approach.