Image to audio conversion with caption generation for the visually impaired and challenged

Registration ID: IJNRD_219135

Published ID: IJNRD2404652

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Mamidyala Deepika, Mogilli Sathvika, Gurla Haripriya

ResNet50 (pre-trained convolutional neural network), Feature extraction, High-level features (objects, colors, shapes), LSTM (Long Short-Term Memory network), Text generation, Textual description, Preprocessing (image resizing, normalization).

Image-to-audio conversion technology is a ground breaking innovation that has transformed the lives of individuals with visual impairments. It’s remarkable ability to convert visual data into audio format has revolutionized the educational landscape, providing students with partial visual impairment an enriched learning experience that was previously unattainable. The technology has also democratized entertainment, making films, television programs, and online content accessible to individuals with visual impairments, thereby fostering a more inclusive media environment. Moreover, image-to-audio conversion technology has sparked a revolution in the world of visual arts, facilitating opportunities for individuals with partial visual impairment to explore, appreciate, and even create visual art. As a result, it has unleashed a wave of creativity and self-expression that was previously limited by inaccessible formats. While the technology still faces some challenges, such as accuracy and implementation costs, ongoing advancements in machine learning and artificial intelligence are poised to address these limitations, making the technology more precise, faster, and accessible.

Published Paper   E-Certificate

Mamidyala Deepika, Mogilli Sathvika, & Gurla Haripriya (April-2024). Image to audio conversion with caption generation for the visually impaired and challenged. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), g446-g451. https://ijnrd.org/papers/IJNRD2404652.pdf

Volume 9 Issue 4, April-2024

Pages : g446-g451

Paper Reg. ID: IJNRD_219135

Published Paper Id: IJNRD2404652

Research Area: Computer Engineering 

Author Type: Indian Author

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404652.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404652

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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Call For Paper - Volume 10 | Issue 12 | December 2025

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