Engineering for All: Empowering Students with Visual and Hearing Impairments through Inclusive Learning

Modern learning technologies tend to lack equitable and accessible learning opportunities, especially for the sensory and communicative disabled. Conventional practices are hampered by poor real-time support, poor sign language interpretation, and limited multimodal content access, resulting in immense educational inequalities. In addition, the lack of built-in, automated support features impedes customized learning and early intervention. To meet these pivotal challenges, this research introduces a novel, AI-based inclusive learning platform that is powered by cutting-edge deep learning and multimodal processing. By combining MediaPipe for high-fidelity sign language recognition and cloud-based AI chatbots for interactive query answering, our system adapts automatically to varied learning requirements, reducing dependency on manual interventions and latency. Experimental tests prove that the outlined platform outperforms traditional learning technologies in accuracy, responsiveness, and end-user satisfaction. This innovation presents an affordable and scalable platform for transforming inclusive education, especially in dynamic and culturally diverse learning settings. Thorough testing over multiple user profiles and educational contexts confirms the efficacy of the system, indicating its readiness for real-world applications. This study highlights the capacity of AI-powered solutions to revolutionize education and create an inclusive learning environment.