Edirisinghe E.A.M.NSiriwardena A.H.C.D.Rathnayake R.G.H.MSarathchandra H.M.S.DJayakody, AWijesiri, P2026-11-042025-12-09E. E. A. M. N, S. A. H. C. D, R. R. G. H. M, S. H. M. S. D, A. Jayakody and P. Wijesiri, "AI-Driven 3D Avatar Framework for Sign Language Translation and Gesture Representation," 2025 7th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2025, pp. 1-6, doi: 10.1109/ICAC69156.2025.11361434.979-833156222-9https://rda.sliit.lk/handle/123456789/5419The communication gap between Deaf and Hard-of-Hearing (DHH) communities and mainstream multimedia platforms remains a critical accessibility challenge. Conventional solutions such as subtitles fail to capture the expressiveness, gestures, and finger movements intrinsic to sign language. Existing AI-based avatar systems further suffer from incomplete hand articulation, unnatural body rotations, and desynchronized playback, limiting their realism and effectiveness. To address these challenges, this research introduces AuralFlix, an AI-driven framework that translates spoken or textual content into naturalistic 3D avatar animations for sign language representation. The system integrates MMPose-based pose estimation to capture full-body and hand keypoints, which are mapped to a Mixamo-compatible skeleton in Blender using quaternion-based animation. A custom animation correction pipeline minimizes rotational artifacts, improves finger articulation, and synchronizes the generated motion with video playback through a dedicated multimedia player. Experimental evaluation demonstrates an average positional accuracy of 3.5 mm and rotational error below 3°, achieving approximately 20% improvement in gesture fidelity compared to baseline markerless animation systems. The proposed framework provides a scalable, low-cost, and expressive accessibility solution that enhances digital communication for the DHH community.en3D Avatar AnimationDeaf AccessibilityMotion CapturePose EstimationSign Language TranslationConference Paperdoi: 10.1109/ICAC69156.2025.11361434.