Published Paper Details:

This paper presents a deep learning-based framework designed to aid vision impairment people by integrating Artificial Intelligence (AI) and the Internet of Things (IoT) for enhanced navigation, object identification, and daily task support. The proposed system utilizes deep learning models to process the data from cameras and sensors, enabling real-time object detection, scene interpretation, and obstacle avoidance. By connecting IoT-enabled devices, the framework allows for continuous interaction between smart environments and assistive technologies. The AI component continuously learns and adapts to the user's environment, preferences, and needs, offering personalized recommendations for navigation, mobility, and everyday activities. This combination of deep learning, AI, and IoT creates a robust, adaptive ecosystem that empowers visually impaired individuals with greater independence, safety, and quality of life.