Bridging the Accessibility Gap: An AI-Driven Integrated Platform for Inclusive Interaction

SAVITHA T; ANCY THOMAS; CHAITRA S; VINUTHA G K

Bridging the Accessibility Gap: An AI-Driven Integrated Platform for Inclusive Interaction

Author(s)	Ms. SAVITHA T, Ms. ANCY THOMAS, Ms. CHAITRA S, Ms. VINUTHA G K
Country	India
Abstract	Abstract—Accessibility is a cornerstone of inclusivity, enabling individuals with diverse abilities to interact with technology and participate fully in society. However, many existing solutions for accessibility remain fragmented, requiring users to navigate multiple platforms to address their visual, linguistic, and con- versational needs. This fragmentation not only limits efficiency but also hinders the adoption of these technologies by those who need them most. ConnectAbility is an innovative platform designed to address these challenges by unifying advanced accessibility tools into a single cohesive system. By leveraging state-of-the-art technologies such as Generative Image Transformer (GIT), Bootstrapped Language-Image Pretraining (BLIP), Vision Transformer with GPT-2 (ViT+GPT2), and LLaMA conversational models, Con- nectAbility provides a comprehensive suite of functionalities. These include generating detailed and contextually rich image captions, performing multilingual text and audio translations, and enabling interactive, context-aware conversations. The platform’s modular architecture, built on a Django backend and Dockerized for scalability, ensures robustness and adaptability across a wide range of applications. From assisting visually impaired users with image captioning to breaking lin- guistic barriers through real-time translation, ConnectAbility is designed to empower users and enhance their interactions with technology. Its potential applications span assistive technology, education, healthcare, and smart devices, making it a versatile tool for inclusivity. This paper explores the architecture, implementation, and real-world impact of ConnectAbility, detailing the integration of AI models, the challenges encountered during development, and the results obtained from extensive testing. By addressing the limitations of existing accessibility tools and introducing a unified platform, ConnectAbility represents a significant step forward in the pursuit of technological inclusivity. The paper concludes with a discussion of potential future enhancements to further expand its capabilities and societal impact.
Keywords	accessibility, assistive technology, image cap- tioning, multilingual translation, conversational AI, generative models I
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 1, January-February 2026
Published On	2026-02-19

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Bridging the Accessibility Gap: An AI-Driven Integrated Platform for Inclusive Interaction

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