AI-based Architectural Image Captioning and Voice Generation System for Blind Students

Author(s)	D. Bikshalu, P. Shirisha, N. Sowmya, P. Sai Harshini, N. Mounika
Country	India
Abstract	An AI-powered architectural image captioning and voice generation system is developed to help blind students better understand architectural images by automatically generating textual descriptions. The proposed system employs computer vision and AI algorithms to process images of buildings, rooms, layouts, and architectural structures. Visual features are extracted by Convolutional Neural Networks (CNNs), and Natural Language Processing (NLP) algorithms are used to generate relevant captions. The captions are then transformed into audio by text-to-speech technology. The proposed system enhances visual perception, facilitates inclusive education, and helps blind students better understand architectural concepts independently and effectively.
Keywords	AI, Image Captioning, Computer Vision, Architectural Images, Blind Students, Deep Learning, CNN, NLP, Accessibility, Assistive Technology
Field	Engineering
Published In	Volume 17, Issue 4, April 2026
Published On	2026-04-12
Cite This	AI-based Architectural Image Captioning and Voice Generation System for Blind Students - D. Bikshalu, P. Shirisha, N. Sowmya, P. Sai Harshini, N. Mounika - IJTAS Volume 17, Issue 4, April 2026.

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