People with visual impairments deal with major hurdles when trying to move around on their own. This stems from a reduced sense of what is happening around them and the drawbacks of standard mobility tools. Most of the help systems available today do not respond quickly enough and fail to give a clear picture of the surroundings.

In this work, we put forward a real-time navigation aid built on AI that looks to boost both movement freedom and user safety. The setup makes use of computer vision to spot obstacles and grasp the scene. A reasoning module that works with spatial data then turns what is seen into straightforward directional hints for the user.

Sound alerts are also woven into the design so that guidance reaches the user through spoken cues at the right moment. One thing that sets our work apart from older systems is that it does not ask for any special equipment. It runs on everyday devices most people already own, which keeps the door open for wide use without extra cost.

Our thinking draws from the latest findings in navigation support and object spotting studies [1], [2]. What the tests show is that the setup catches objects quite well while keeping delays very short. These traits make it a solid pick for use in actual day-to-day travel.

Index Terms—Assistive Navigation, Computer Vision, Object Detection, Visually Impaired, Real-Time Systems, Spatial Rea- soning, Audio Feedback