Fingerspell AI: Real-Time Conversion of Hand Gestures to Text
K. Venkatesh, P Chatura, Sayana Puneeth, V. Harini, G.K. Divya Bala · 2025
Utilizing progresses in computer vision and machine learning, this paper proposes a real-time hand motion acknowledgment framework for fingerspelling in American Sign Dialect (ASL). The recommended framework makes utilize of neural systems to precisely distinguish and categorize hand signals that compare to the 26 letters of the English letter set. The show accomplishes an amazing precision rate of 98.00% by employing a sifting component to handle pictures of hand motions. By bridging the communication hole between Hard of hearing and Quiet individuals and non-sign dialect clients, this framework may increment openness and inclusivity in a assortment of social and proficient settings. Hard of hearing and quiet people's quality of life might be enormously upgraded by executing such a framework, which would permit for more consistent interaction and advance an comprehensive