Identify light sensitivity
using AI
Below is a free classifier to identify light sensitivity. Just input your text, and our AI will predict the level of light sensitivity in various visual impairments - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("light-sensitivity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/light-sensitivity/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.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_text_here"}' \
https://www.nyckel.com/v1/functions/light-sensitivity/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the level of light sensitivity in various visual impairments.
This pretrained text model uses a Nyckel-created dataset and has 5 labels, including Extreme, Mild, Moderate, None and Severe.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the level of light sensitivity in various visual impairments).
Whether you're just curious or building light sensitivity detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify light sensitivity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Medical Diagnosis Support: This function can assist healthcare professionals by identifying text related to light sensitivity, which is a symptom of various medical conditions. By analyzing patient records or patient-reported outcomes, it can help flag cases where light sensitivity may be relevant, ensuring timely follow-up and treatment options.
- Consumer Product Development: Companies developing eyewear, lighting, or home furnishings can use this function to analyze customer feedback and product reviews. By identifying sentiments related to light sensitivity, businesses can improve product designs to cater to sensitive individuals, enhancing user satisfaction and market reach.
- Marketing Campaign Optimization: Marketers can leverage the light sensitivity identifier to segment audiences more effectively. By identifying individuals discussing light sensitivity in social media, blogs, or forums, they can tailor campaigns for products like sunglasses, blue light filters, or specialized lighting solutions, increasing engagement and conversion rates.
- Content Moderation: Online platforms can implement this function to monitor user-generated content for discussions surrounding light sensitivity. This ensures that harmful or misleading information is flagged and removed, maintaining a safe community for individuals with light sensitivity concerns.
- Personalized Health Recommendations: Health and wellness apps could incorporate this identifier to provide personalized advice based on users' discussions about light sensitivity. By tailoring tips, articles, and product suggestions to individuals expressing these concerns, apps can enhance user engagement and improve health outcomes.
- Research Analysis: Academics and researchers can apply this technology to analyze literature and studies surrounding light sensitivity. By identifying relevant texts and findings efficiently, researchers can streamline their literature reviews and synthesize information to support new hypotheses.
- Accessibility Compliance: Businesses in public sectors, such as education and transportation, can utilize the light sensitivity identifier to ensure their materials and environments are more accessible. By analyzing feedback related to light sensitivity, they can make informed decisions about infrastructure and digital content, promoting inclusivity for affected individuals.