Discover the Age Detector, a cutting-edge tool designed to accurately estimate age with advanced technology. Perfect for developers and businesses, this innovative solution offers seamless integration and reliable results. Enhance your applications with the Age Detector today.
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Published:
2024-09-08
Created:
2025-05-07
Last Modified:
2025-05-07
Published:
2024-09-08
Created:
2025-05-07
Last Modified:
2025-05-07
Age Detector is a digital tool or application designed to estimate or analyze a person's age, likely using facial recognition or AI technology. It may be used for verification, analytics, or entertainment purposes, though specific features depend on the developer's implementation.
Age Detector is ideal for businesses in age-restricted industries (e.g., retail, gaming), developers integrating age verification, or individuals curious about AI-based age estimation. IT professionals like James Flores, the creator, may also leverage it for tech demonstrations or research in internet applications.
Age Detector works in online platforms requiring age checks (e.g., e-commerce, social media), physical kiosks for retail, or developer projects testing AI capabilities. It’s also suitable for research in demographic analytics or secure access control systems.
Age Detector is an online tool designed to estimate a person's age using AI technology. While the exact methodology isn't detailed on the website, such tools typically analyze facial features from uploaded images to predict age ranges. The platform is developed by James Flores, an IT professional with AWS certification and expertise in internet applications.
The Age Detector tool was created by James Flores, an IT professional specializing in internet applications. He holds an AWS Certified Solutions Architect – Associate certification and has a background in Internet Science & Technology. His professional profiles on LinkedIn, GitHub, and Credly are linked on the Age Detector website.
The Age Detector website doesn't explicitly state pricing, but many similar age-detection tools offer free basic services with optional premium features. For accurate details, users should check the official Age Detector website at agedetector.fun or contact James Flores directly via the provided email.
James Flores, creator of Age Detector, holds a degree in Internet Science & Technology with a focus on Internet Applications. He's also an AWS Certified Solutions Architect – Associate, demonstrating cloud computing expertise. His credentials can be verified through his LinkedIn, Credly, and GitHub profiles linked on the Age Detector site.
While the Age Detector website doesn't specify accuracy metrics, most AI-based age detection tools typically achieve 70-90% accuracy under ideal conditions. Accuracy can vary based on image quality, lighting, and facial features. For precise performance details, users may need to contact James Flores through the provided channels.
Yes, James Flores provides multiple contact options including email ([email protected]) and LinkedIn. These contact methods are listed on the Age Detector website along with his GitHub and Credly profiles for professional verification.
While the Age Detector site doesn't detail its technical stack, creator James Flores's AWS certification suggests possible cloud-based infrastructure. As an IT professional specializing in internet applications, he likely employs AI/ML algorithms for age detection combined with web development technologies for the interface.
The current Age Detector appears to be a web-based tool at agedetector.fun, with no mention of mobile apps. However, as the developer James Flores has internet application expertise, a mobile version could potentially be developed in the future. Users should check the official website for updates.
Without specific feature comparisons, Age Detector's competitive advantage lies in its developer's credentials - James Flores's AWS certification and internet technology specialization suggest robust technical implementation. For detailed comparisons, users would need to test multiple tools or contact the developer directly.
The Age Detector website doesn't specify commercial use terms. Businesses interested in licensing or integrating the technology should contact James Flores directly through the provided email or LinkedIn to discuss potential commercial applications and licensing options.
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James Flores
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