WeSee: Enhancing Environmental Perception for Visually Challenged Individuals Through Multi-Modal AI Framework

MM, Bhuvan; MK, Sushma

doi:https://doi.org/10.55041/ijcope.v2i5.526

Volume 02, Issue 05

Published on: May 2026

WESEE: ENHANCING ENVIRONMENTAL PERCEPTION FOR VISUALLY CHALLENGED INDIVIDUALS THROUGH MULTI-MODAL AI FRAMEWORK

Bhuvan MM Sushma MK

Dr. Narendra M

Department of Computer Science and Engineering The National Institute of Engineering Mysore

DOI:https://doi.org/10.55041/ijcope.v2i5.526

Article Status

Plagiarism Passed Peer Reviewed Open Access

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Abstract

In our country India, we have many brothers and sisters who cannot see properly and face big problems in their daily life [1]. Our project WeSee is like a good friend that helps them by using mobile camera to read text aloud and tell what objects are around them. Our special method uses two different text reading techniques together to get best results [2]. We also made object detection better for Indian conditions [3]. After testing with many images, we found that WeSee can read text with 95.1% correctness and find objects with 89% accuracy. This works very well on normal smartphones without needing expensive devices.

KEYWORDS: Visual Assistance, Artificial Intelligence, Text Recognition, Object Detection, Ac-cessibility, Web Application.

How to Cite this Paper

MM, B. & MK, S. (2026). WeSee: Enhancing Environmental Perception for Visually Challenged Individuals Through Multi-Modal AI Framework. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.526

MM, Bhuvan, and Sushma MK. "WeSee: Enhancing Environmental Perception for Visually Challenged Individuals Through Multi-Modal AI Framework." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.526.

MM, Bhuvan, and Sushma MK. "WeSee: Enhancing Environmental Perception for Visually Challenged Individuals Through Multi-Modal AI Framework." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.526.

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•All submissions are screened under plagiarism detection.
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•Authors retain copyright.
•Peer Review Type: Double-Blind Peer Review
•Published on: May 17 2026

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