Rahim, Abu Hamed M. AbdurMahmud , TasfinShawon, Md. Mehedi HasanDas, Adri ShankarFahad, Ababil HossainSahill, Fardin RahmanShakib, Mohammed2025-01-222025-01-2220242024-10ID 20321035ID 20321034ID 20321025ID 20321029http://hdl.handle.net/10361/25259Cataloged from PDF version of final year design project.Includes bibliographical references (pages 90-92).This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2024."Visual-spatial agnosia is a neurological visual impairment disorder that occurs after brain strokes in elderly people. These patients are unable to recognise objects surrounding them and also they cannot pursue the distance of the object. This creates a huge barrier between the real world and the world they perceive. This study proposes a smart eyewear assistive device that will help patients recognize the object as well as guide the patient toward the object by showing the distance of the object with the help of machine learning algorithms. A stereo vision algorithm is used to estimate the distance along with the Yolov11 algorithm that detects the objects. Physical data has been recorded to analyze the models’ performance with the Yolov11 algorithm with stereo vision algorithm. This study also proposes future works in this area. "123 pagesenBrac University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Visual-spatial agnosiaNeurological disorderYolov11Stereo vision algorithmObject detectionMachine learning.Project Report