Paper Title

ASL Communication System

Article Identifiers

Registration ID: IJNRD_200621

Published ID: IJNRD2306619

DOI: http://doi.one/10.1729/Journal.35006

Authors

Emmanuel Pinto , Vishwa Shukla , Dr.D.V.Bhoir , Palak Joseph

Keywords

ASL American Sign Language, KNN K Nearest neighbor, CNN Convolutional Neural Networks, RNN Recurrent Neural Networks, GUI Graphical User Interface, E-R Entity Relationship, ROI Region of Interest, HCI Human Computer Interaction, SVM Support Vector Machine, HOG Histogram of Oriented Gradients, SIFT Scale-Invariant Feature Transform

Abstract

This project aims to create an application that can recognize and translate the American Sign Language (ASL) alphabet into text. It uses a convolutional neural network (CNN) model and a Flask web application with a user-friendly interface. The ASL dataset is preprocessed and trained on a CNN model with three convolutional layers, two fully connected layers, and an output layer representing the 26 letters of the alphabet. The trained model is then deployed on the Flask web application, allowing users to upload an image of an ASL letter and receive the predicted letter on the screen. The user interface is intuitive and accessible, including additional features such as a "Clear" button and a "Learn More" button. The model achieved an accuracy of 96% on the validation set after training on 80% of the ASL dataset, making it a reliable tool for real-time ASL letter recognition for people with speech or hearing impairments. This application is a significant step towards bridging the communication gap and making communication more inclusive.

How To Cite

"ASL Communication System", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 6, page no.g156-g161, June-2023, Available :https://ijnrd.org/papers/IJNRD2306619.pdf

Issue

Volume 8 Issue 6, June-2023

Pages : g156-g161

Other Publication Details

Paper Reg. ID: IJNRD_200621

Published Paper Id: IJNRD2306619

Downloads: 000121177

Research Area: Engineering

Country: Vasai(W), Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2306619.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306619

DOI: http://doi.one/10.1729/Journal.35006

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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