The National Education Policy 2020 highlights inclusive and technology-driven education for children with disabilities in India. While policy reforms are in place, major challenges are remaining that impact inclusive education, especially in government schools, including accessibility, communication, infrastructure and teacher preparation. The aim of the study is to explore the potential of Artificial Intelligence (AI) assistive technologies for inclusive learning, namely computer vision and speech recognition systems. This paper examines the potential for using AI technologies such as object recognition, speech-to-text conversion, OCR, and multilingual learning platforms to enhance educational accessibility for children with visual, hearing, speech and cognitive disabilities. It also analyzes potential challenges in implementation, such as the digital divide, financial considerations, ethical issues, and readiness of institutions. The study suggests a policy-driven roadmap in the direction of NEP 2020 that can help in providing equitable and accessible AI-driven education in Indian schools
Artificial Intelligence; Inclusive Education; NEP 2020; Assistive Technologies; Computer Vision; Speech Recognition; Children with Disabilities; AI in Education; Educational Accessibility; Digital Inclusion; Multilingual Learning; Adaptive Learning Systems; India