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AI Based Smart Assistance System For Visually Impaired Persons

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dc.contributor.author Supervisor Dr. Ahmad Rauf Subhani, Muhammad Shayan Sajid Rizwan Qadeer Malik Muhammad Awais Malik
dc.date.accessioned 2024-05-10T07:06:08Z
dc.date.available 2024-05-10T07:06:08Z
dc.date.issued 2023
dc.identifier.issn DE-ELECT-41
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/43261
dc.description Supervisor Dr. Ahmad Rauf Subhani en_US
dc.description.abstract The aim of the project is to facilitate visually impaired persons. The visually impaired population faces numerous challenges in their daily lives, relying heavily on assistance from others to perform simple tasks. This project involves creating an AI-based system that provides assistance to visually impaired individuals. The system is designed to be compact and easy to use, and can recognize common objects, perform facial recognition, and convert text to speech. The proposed system consists of a wearable device equipped with a camera, microphone, and tactile input/output interface. The camera captures the visual input, which is then processed using computer vision algorithms to identify objects, people, and text in the user's vicinity. Simultaneously, the microphone is used to communicate with the user through voice. The project also aims to explore the domains of signal processing and machine learning, while also enhancing teamwork and project management skills. If successful, the system has the potential to significantly improve the lives of visually impaired individuals by providing them with greater independence and accessibility. en_US
dc.language.iso en en_US
dc.publisher College of Electrical and Mechanical Engineering (CEME), NUST en_US
dc.title AI Based Smart Assistance System For Visually Impaired Persons en_US
dc.type Project Report en_US


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