Mariyam Manzoor
Biographic Data
| ID | 8682914 |
|---|---|
| NAME | Mariyam Manzoor |
| GIVEN NAMES | Mariyam |
| FAMILY NAME | Manzoor |
| SIGNATURE | MANZOOR M |
| AFFILIATIONS | University of Engineering and Technology Lahore |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Designing an accessible and interactive shopping assistant using deep learning for visually impaired individuals in Pakistan
Shopping is an essential activity of everyday routine. It is an easy task for people without impairments; however, this remains a significant challenge for people with visual impairments. Currently, visually impaired people must rely on family members or store personnel to assist them while shopping. It is challenging for them to navigate stores independently. In this study, the development and technical evaluation of an assistive shopping system…
No prominent works on this page.
Designing an accessible and interactive shopping assistant using deep learning for visually impaired individuals in Pakistan
Shopping is an essential activity of everyday routine. It is an easy task for people without impairments; however, this remains a significant challenge for people with visual impairments. Currently, visually impaired people must rely on family members or store personnel to assist them while shopping. It is challenging for them to navigate stores independently. In this study, the development and technical evaluation of an assistive shopping system…
Deep learning (1 work) · Hand Gesture Recognition Systems (1 work) · Handwritten Text Recognition Techniques (1 work) · Tactile and Sensory Interactions (1 work) · Usability (1 work) · Visually impaired (1 work)