Call for Papers:Vol.11 Issue.1

Submission
Last date		 27-Feb-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-1. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Sign Language Generation and Detection using Deep Learning
PaperId: :  25805
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 1 2025
DUI:    16.0415/IJARIIE-25805
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ritesh Kiran DeoreDr. Vithalrao Vikhe Patil College of Engineering
Shivam Dadasaheb GavhaneDr. Vithalrao Vikhe Patil College of Engineering
Naeem Rajjak SayyadDr. Vithalrao Vikhe Patil College of Engineering
Sanket Rajendra ZendeDr. Vithalrao Vikhe Patil College of Engineering
Vidya Vinod JagtapDr. Vithalrao Vikhe Patil College of Engineering

Abstract

Deep Learning
Sign Language Generation and Detection, Deep Learning, CNN, Natural Language Processing, Computer Vision
This study focuses on developing innovative two-way communication systems that allow for seamless interactions between people who use sign language and those who do not. The system uses deep learning techniques, particularly annoying neural networks (CNNs), to enable real-time translation between text, audio and sign language. The main purpose of this project is to bridge communication gaps and to provide access, more efficient and integrated daily interactions for the deaf and hearing at community hearings. In sign language, the difficulty is communicating with people who are not used to it. While existing solutions exist, such as sign language interpreters and mobile applications, they are often unrealistic, expensive or unavailable in real time. Many current technologies offer disposable translations from sign language to text or vice versa, but do not provide integrated two-way communication systems. The aim of our study is to overcome these limitations by designing a comprehensive solution that allows for smooth interaction between sign language users and non-users in real-world scenarios. The recognition module uses CNNs to recognize hand gestures related to sign language and convert them into English text. This function allows those who communicate effectively with non signed voice users by using sign language to convert gestures into real-time readable text. The CNN model is trained with a variety of data records with sign language gestures to ensure high accuracy and robustness in a variety of lighting conditions, hand positions and user variations. Converts voice audio inputs and their corresponding sign language gestures. This feature is particularly advantageous for non-essential voice users who want to communicate with people who rely on sign language. By using deep learning models that include NLP techniques (natural language processing), the system processes input text or language and generates accurate representations of visual sign language. The integration of speech recognition provides even greater accessibility, allowing you to convert spoken language into sign language without the need for manual input. A variety of environments, including educational institutions, employment, medical facilities, and public service centers. By using deep learning and computer vision technology, our research contributes to continuous efforts to improve the inclusion and accessibility of hearing impairment and hearing loss.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Ritesh Kiran Deore, Shivam Dadasaheb Gavhane, Naeem Rajjak Sayyad, Sanket Rajendra Zende, and Vidya Vinod Jagtap. "Sign Language Generation and Detection using Deep Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 1 2025 Page 1338-1343
MLA Ritesh Kiran Deore, Shivam Dadasaheb Gavhane, Naeem Rajjak Sayyad, Sanket Rajendra Zende, and Vidya Vinod Jagtap. "Sign Language Generation and Detection using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 11.1(2025) : 1338-1343.
APA Ritesh Kiran Deore, Shivam Dadasaheb Gavhane, Naeem Rajjak Sayyad, Sanket Rajendra Zende, & Vidya Vinod Jagtap. (2025). Sign Language Generation and Detection using Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education, 11(1), 1338-1343.
Chicago Ritesh Kiran Deore, Shivam Dadasaheb Gavhane, Naeem Rajjak Sayyad, Sanket Rajendra Zende, and Vidya Vinod Jagtap. "Sign Language Generation and Detection using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 1 (2025) : 1338-1343.
Oxford Ritesh Kiran Deore, Shivam Dadasaheb Gavhane, Naeem Rajjak Sayyad, Sanket Rajendra Zende, and Vidya Vinod Jagtap. 'Sign Language Generation and Detection using Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 1, 2025, p. 1338-1343. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Sign_Language_Generation_and_Detection_using_Deep_Learning_ijariie25805.pdf (Accessed : ).
Harvard Ritesh Kiran Deore, Shivam Dadasaheb Gavhane, Naeem Rajjak Sayyad, Sanket Rajendra Zende, and Vidya Vinod Jagtap. (2025) 'Sign Language Generation and Detection using Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, 11(1), pp. 1338-1343IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Sign_Language_Generation_and_Detection_using_Deep_Learning_ijariie25805.pdf (Accessed : )
IEEE Ritesh Kiran Deore, Shivam Dadasaheb Gavhane, Naeem Rajjak Sayyad, Sanket Rajendra Zende, and Vidya Vinod Jagtap, "Sign Language Generation and Detection using Deep Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 1, pp. 1338-1343, Jan-Feb 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/Sign_Language_Generation_and_Detection_using_Deep_Learning_ijariie25805.pdf [Accessed : ].
Turabian Ritesh Kiran Deore, Shivam Dadasaheb Gavhane, Naeem Rajjak Sayyad, Sanket Rajendra Zende, and Vidya Vinod Jagtap. "Sign Language Generation and Detection using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 1 ().
Vancouver Ritesh Kiran Deore, Shivam Dadasaheb Gavhane, Naeem Rajjak Sayyad, Sanket Rajendra Zende, and Vidya Vinod Jagtap. Sign Language Generation and Detection using Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(1) : 1338-1343. Available from: http://ijariie.com/AdminUploadPdf/Sign_Language_Generation_and_Detection_using_Deep_Learning_ijariie25805.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
The Role of TypeScript in Advancing Development with Modern JavaScript FrameworksComputer Science & EngineeringKate Shweta Sanjay Download
Sign Language Generation and Detection using Deep LearningDeep LearningRitesh Kiran Deore Download
TITLE: Advanced Stock Market Prediction Using Hybrid GRU-LSTM TechniquesComputer Science EngineeringK Hema Download
Next-Gen Autonomous Vehicles: Leveraging IoT for Enhanced Object and Signal DetectionComputer Science and Design EngineeringSanika Ajay Ghorpade Download
CELL CYCLE EXPLORER: A DRAG-AND-DROP SIMULATION FOR CONCEPTUAL UNDERSTANDING OF MITOSISBiologyMary Grace L. Linaza Download
Detection of Phishing Website Using Machine Learning and Features ExtractionComputer security Amaefule I.A Download
CAR RENTAL MANAGEMENT SYSTEMComputer EngineeringDivyashree.K Download
Data Mining Application In Ayurveda Therapy For Treatment Of CancerComputer EngineeringDr. Deepa Nyayadhish Download
BRAIN TUMOR DETECTION AND CLASSIFICATIONComputer EngineeringR Yashodara Download
Mouse Control Using Hand Gesture RecognitionComputer EngineeringDivyashree.K Download
AVATAR GENERATORSComputer EngineeringR Yashodara Download
A Novel Method for Intrusion Detection in Autonomous Distributed IoT Systems Utilise Stochastic Petri Net ModelingComputer EngineeringMr. Darshan K Revankar Download
Review on Network Security and CryptographyComputer Science and Engineering Mr. Pradeep Nayak Download
A REVIEW NETWORK SECURITY IN CLOUD COMPUTING ENVIRONMENTComputer Engineering Jishnu Raj V K Download
A Review of Blockchain Technology in Knowledge-Defined Networking, Its Application, Benefits, and ChallengesComputer scienceSuneel P K Download
12