• Viveshan Kumar
• Naveen Kumar Ravi
• Abhishek Kumar Singh
• Harsh Bhushan Paswan
• Ajeet Kumar Gupta

The ML based Sign Language Detection system aims at communicating with differently abled people without the help of any expensive human interpreter. This model translates the signs gestures captured into text so that the user can simply read and know what the person is trying to convey irrespective of whether the user has knowledge about sign language or not. In this project, a real-time ML-based system is built using images captured with the help of webcam for sign language detection. The main purpose of this project is to design a system for people with deferability's so that they can easily communicate with other people. The existing digital translator is very slow, because each letter must be gestured with, and it takes a long time to form a simple sentence. The model uses the SSD ML algorithm, and overcomes the above problems by directly recognizing the symbols as words instead of letters. Model will be built with the help of Label-Img software and TensorFlow Object Detection API, using real coloring images and detect sign language in real time using OpenCV. The Labeling software is used for graphically labeling the images that is further used when recognizing the images. The labeling is done by drawing a box around the gesture made. SSD (Single Shot Detection) algorithm is designed for object detection in real-time. SSD speeds up the process by eliminating the need for the region proposal network. The TensorFlow Object Detection API is an open-source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models Index Terms—Component, formatting, style, styling, insert.

"A Real-Time Machine Learning Framework for Sign Language Detection Using TensorFlow and SSD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 4, page no.c21-c26, April-2026, Available :http://www.jetir.org/papers/JETIR2604204.pdf

"A Real-Time Machine Learning Framework for Sign Language Detection Using TensorFlow and SSD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 4, page no. ppc21-c26, April-2026, Available at : http://www.jetir.org/papers/JETIR2604204.pdf