ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771 ----- Impact Factor: 9.625
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    SIGNSENSE: AI-POWERED HAND GESTURE-BASED LANGUAGE INTERPRETER

    AGATHAMUDI SAI TANUJA , PUDI TOYA JAKSHI, SAKALA SAI VENKATA , MANASWINI , BETHA MOHAN SAI , CHANDRA SEKHAR AKULA

    Author

    ID: 3858

    DOI:

    Abstract :

    SignSense: AI Hand Gesture-Based Language Interpreter Is An Intelligent Communication System Designed To Translate Hand Gestures Into Meaningful Language Using Artificial Intelligence And Computer Vision Techniques. The System Captures Hand Movements Through A Camera And Processes The Visual Input To Recognize Predefined Gestures In Real Time. A Gesture Recognition Model Identifies The Corresponding Signs And Converts Them Into Text Or Speech, Helping Bridge The Communication Gap Between Sign-language Users And People Who May Not Understand Sign Language. The Application Is Developed Using Node.js For Backend Services And React For An Interactive User Interface, While SQL Is Used To Store User Information, Gesture Data, And Recognition Records. The Proposed System Aims To Provide A Fast, Accessible, And User-friendly Solution For Real-time Gesture-based Communication. By Integrating AI, Computer Vision, Web Technologies, And Database Management, SignSense Can Support More Inclusive Communication In Educational, Social, And Professional Environments.

    Published:

    22-8-2025

    Issue:

    Vol. 25 No. 8 (2025)


    Page Nos:

    565 - 570


    Section:

    Articles

    License:

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    AGATHAMUDI SAI TANUJA , PUDI TOYA JAKSHI, SAKALA SAI VENKATA , MANASWINI , BETHA MOHAN SAI , CHANDRA SEKHAR AKULA, SIGNSENSE: AI-POWERED HAND GESTURE-BASED LANGUAGE INTERPRETER , 2025, International Journal of Engineering Sciences and Advanced Technology, 25(8), Page 565 - 570, ISSN No: 2250-3676.

    DOI: