International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 2
March-April 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

SignARise: Cloud-Based Multi-Modal Translation System for Accessible Communication and Learning

Author(s) Ms. Kavya S, Ms. Shivani N S, Ms. Vaishnavi R Naik, Ms. Vijeta Vijaykumar Naik, Mr. Junaid Hussain Khan
Country India
Abstract Most of the world's population still suffers from various obstacles in effective and clear communication because of hearing, speech, or visual impairments. Existing digital assistants and accessibility tools have not been able to respond to the need for nuanced and multimodal communication, such as real-time interaction and inclusive participation. SignARise fills this gap by introducing an intelligent, cloud-based assistive platform that unifies three core communication channels: sign language, speech, and text. Powered by scalable AI models, SignARise achieves instant translations and captioning within practical, conversational, and educational contexts, thereby enabling users to act meaningfully within different environments. The platform further integrates biometric voice for secure personalization, allowing safe and reliable authentication tailored especially for users with sensory impairments. Offloading computationally intensive processes to the cloud, SignARise can provide high-performance accessibility features even on low-end devices and prevent hardware limitations from becoming a barrier to inclusion. This work presents an in-depth exploration of the architecture, processing pipeline, algorithmic underpinnings, and real-world functionality of the system. Furthermore, it discusses the far-reaching social and educational impact of SignARise, elaborating on how the platform advances digital accessibility and supports independence for individuals with sensory impairments.
Keywords Sign Language Recognition, Cloud Computing, Assistive Technology, Accessibility, AI, Inclusive Education
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-11
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62743
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 1Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals