🚀📱 Smart AI Framework for Digital Eye Wellness

 Artificial intelligence is transforming the way we monitor and protect our health, and eye care is no exception 👁️✨. With the rise of remote work, online learning, and prolonged screen exposure, digital eye strain (DES) has become a common yet often ignored problem. An innovative AI-based multimodal framework now offers a smart, non-invasive solution by combining 🌡️ thermal imaging and 📊 behavioral metrics to detect early signs of eye fatigue without any physical contact or discomfort.

This intelligent system uses 🔥 thermal cameras to capture subtle temperature changes around the eyes that may indicate inflammation or stress, while 🤖 machine learning algorithms analyze blinking rate, gaze patterns, head posture, and screen time behavior. By integrating multiple data sources, the framework improves detection accuracy and provides real-time insights into eye health. Such multimodal analysis helps identify strain earlier than traditional self-reporting methods, making prevention more proactive and personalized.

Ultimately, this technology opens the door to smarter workplaces, healthier study habits, and wearable or app-based monitoring tools 📱💡. From office professionals to students and gamers, anyone can benefit from timely alerts and personalized recommendations like rest breaks or posture correction. By blending AI, computer vision, and healthcare innovation 🚀, this approach represents the future of digital wellness—where prevention is seamless, intelligent, and accessible to all.

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