The human sense of sight is crucial for perceiving and appreciating the beauty of the world around us. Unfortunately, there are individuals who are visually impaired, and they face significant challenges in their daily lives. These individuals, commonly referred to as VIPs (Visually Impaired People), make up a considerable percentage of the global population and are present in every part of the world.

To address this issue, an AI-based assistive device has been developed that uses a Convolutional Neural Network (CNN) algorithm. This device allows VIPs to view their surroundings through an artificial eye, which enables them to recognize both static and dynamic objects such as traffic lights, human beings, animals, and vehicles. Additionally, the device includes an audio input that provides information about the recognized objects, and an accompanying mobile application allows guardians and family members to track the VIP's location and view snapshots of the environment.

Furthermore, the application features a special panic button that VIPs can use to contact their caretaker when they feel uncomfortable or require assistance. The project utilizes various domains, including AI, IoT, and embedded systems.