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On device AI with mobile hardware utilizations

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reacted to their post with ๐Ÿค— 3 days ago
๐Ÿš€ Empowering Seamless AI App Development without GPU Cloud server: Introducing ZETIC.MLange! ๐Ÿ“ฑ We are thrilled to announce the launch of ZETIC.MLange, end-to-end development tool designed to simplify the creation and deployment of on-device AI solutions. ๐Ÿ’ก What is ZETIC.MLange? ZETIC.MLange is a comprehensive development platform that enables developers to build, test, and deploy AI models directly on devices. By facilitating on-device AI development, it offers benefits such as enhanced privacy, reduced latency, and offline functionality. ๐Ÿ”ฎ Key Features: - End-to-End Workflow: One-stop implementation from your AI model to Application project - On-Device Optimization: Tailor models for efficient performance on various hardware platforms. - User-Friendly Interface: Intuitive tools and documentation to assist both novice and experienced developers. ๐ŸŒ Explore More! - How-to Video: https://youtu.be/MKYi09eRNUE?si=dgNm6VQ-klMyek0q - Product Page: https://mlange.zetic.ai - Experience ZETIC.MLange on Mobile: - Google Play Store: https://play.google.com/store/apps/details?id=com.zeticai.zeticapp - Apple App Store: https://apps.apple.com/app/zeticapp/id6739862746 ๐Ÿ’ซ We believe ZETIC.MLange will be a valuable asset for developers aiming to harness the power of on-device AI. We invite you to explore its capabilities and share your feedback. #OnDeviceAI #ZETICMLange #AIDevelopment #EdgeComputing
reacted to their post with ๐Ÿค 3 days ago
๐Ÿš€ Empowering Seamless AI App Development without GPU Cloud server: Introducing ZETIC.MLange! ๐Ÿ“ฑ We are thrilled to announce the launch of ZETIC.MLange, end-to-end development tool designed to simplify the creation and deployment of on-device AI solutions. ๐Ÿ’ก What is ZETIC.MLange? ZETIC.MLange is a comprehensive development platform that enables developers to build, test, and deploy AI models directly on devices. By facilitating on-device AI development, it offers benefits such as enhanced privacy, reduced latency, and offline functionality. ๐Ÿ”ฎ Key Features: - End-to-End Workflow: One-stop implementation from your AI model to Application project - On-Device Optimization: Tailor models for efficient performance on various hardware platforms. - User-Friendly Interface: Intuitive tools and documentation to assist both novice and experienced developers. ๐ŸŒ Explore More! - How-to Video: https://youtu.be/MKYi09eRNUE?si=dgNm6VQ-klMyek0q - Product Page: https://mlange.zetic.ai - Experience ZETIC.MLange on Mobile: - Google Play Store: https://play.google.com/store/apps/details?id=com.zeticai.zeticapp - Apple App Store: https://apps.apple.com/app/zeticapp/id6739862746 ๐Ÿ’ซ We believe ZETIC.MLange will be a valuable asset for developers aiming to harness the power of on-device AI. We invite you to explore its capabilities and share your feedback. #OnDeviceAI #ZETICMLange #AIDevelopment #EdgeComputing
reacted to their post with ๐Ÿง  3 days ago
๐Ÿš€ Empowering Seamless AI App Development without GPU Cloud server: Introducing ZETIC.MLange! ๐Ÿ“ฑ We are thrilled to announce the launch of ZETIC.MLange, end-to-end development tool designed to simplify the creation and deployment of on-device AI solutions. ๐Ÿ’ก What is ZETIC.MLange? ZETIC.MLange is a comprehensive development platform that enables developers to build, test, and deploy AI models directly on devices. By facilitating on-device AI development, it offers benefits such as enhanced privacy, reduced latency, and offline functionality. ๐Ÿ”ฎ Key Features: - End-to-End Workflow: One-stop implementation from your AI model to Application project - On-Device Optimization: Tailor models for efficient performance on various hardware platforms. - User-Friendly Interface: Intuitive tools and documentation to assist both novice and experienced developers. ๐ŸŒ Explore More! - How-to Video: https://youtu.be/MKYi09eRNUE?si=dgNm6VQ-klMyek0q - Product Page: https://mlange.zetic.ai - Experience ZETIC.MLange on Mobile: - Google Play Store: https://play.google.com/store/apps/details?id=com.zeticai.zeticapp - Apple App Store: https://apps.apple.com/app/zeticapp/id6739862746 ๐Ÿ’ซ We believe ZETIC.MLange will be a valuable asset for developers aiming to harness the power of on-device AI. We invite you to explore its capabilities and share your feedback. #OnDeviceAI #ZETICMLange #AIDevelopment #EdgeComputing
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2051
๐Ÿš€ Empowering Seamless AI App Development without GPU Cloud server: Introducing ZETIC.MLange!

๐Ÿ“ฑ We are thrilled to announce the launch of ZETIC.MLange, end-to-end development tool designed to simplify the creation and deployment of on-device AI solutions.

๐Ÿ’ก What is ZETIC.MLange?
ZETIC.MLange is a comprehensive development platform that enables developers to build, test, and deploy AI models directly on devices. By facilitating on-device AI development, it offers benefits such as enhanced privacy, reduced latency, and offline functionality.

๐Ÿ”ฎ Key Features:
- End-to-End Workflow: One-stop implementation from your AI model to Application project
- On-Device Optimization: Tailor models for efficient performance on various hardware platforms.
- User-Friendly Interface: Intuitive tools and documentation to assist both novice and experienced developers.

๐ŸŒ Explore More!
- How-to Video: https://youtu.be/MKYi09eRNUE?si=dgNm6VQ-klMyek0q
- Product Page: https://mlange.zetic.ai
- Experience ZETIC.MLange on Mobile:
- Google Play Store: https://play.google.com/store/apps/details?id=com.zeticai.zeticapp
- Apple App Store: https://apps.apple.com/app/zeticapp/id6739862746

๐Ÿ’ซ We believe ZETIC.MLange will be a valuable asset for developers aiming to harness the power of on-device AI. We invite you to explore its capabilities and share your feedback.

#OnDeviceAI #ZETICMLange #AIDevelopment #EdgeComputing
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Post
1174
๐Ÿ‘‹ We're excited to share our project on mobile face detection using MediaPipe and ZETIC.MLange.

๐Ÿ”‘ Key highlights:
1. Introduction to Mediapipe face detection model
2. Developing on-device AI applications with ZETIC.MLange
3. Guide to creating object detection apps utilizing Mobile NPUs

๐Ÿ“ฑ Learn how to build a high-performance face detection app that operates entirely on-device, no cloud required! We explore:
- Real-time face analysis techniques
- Enhanced security measures
- Privacy protection strategies

๐ŸŽฅ Check out our demo video showcasing real-time face detection:
Face detection Demo: https://youtu.be/GXtJKk7MdjQ?si=41UFKL8IBwx5nlxs

๐Ÿ“š Full Tutorial
For a step-by-step guide and in-depth discussion, read our full blog post:
https://zetic.ai/blog/implementing-face-detection-on-device-ai-with-zetic-mlange

We'd love to hear your thoughts, experiences, or questions in the comments below.

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