https://ijojournals.com/index.php/cse/issue/feedIJO -International Journal Of Computer Science and Engineering (ISSN: 2814-1881)2024-04-02T18:06:04+00:00Rahul Khaninfo@ijojournals.comOpen Journal Systems<p><strong>IJO -International Journal Of Computer Science and Engineering</strong> <strong>(ISSN: 2814-1881)</strong> :-Subjects covered in Computer Science and Engineering include: Computer Science; Scientific Computing; Wireless Networking; Network Modelling; Computational Science & Engineering; Theoretical Computer Science; Biosystems Engineering; Machine Learning; Systems Biology & Bioinformatics; Biostatistics; Data Mining; Data Analysis; Internet Computing & Web Services; Information System Engineering; Quantum Computing; Nano Computing; Soft Computing; Artificial Intelligence; Digital Signal Processing, Cloud Computing; Robotics; Computer Graphics; Information Science; Medical Image Computing; Natural language Processing; Evolutionary Computation.</p>https://ijojournals.com/index.php/cse/article/view/828SIGN LANGUAGE DETECTION AND GESTURE RECOGNITION2024-04-02T18:06:04+00:00K. Nitalaksheswara Raokolukulanitla@gmail.comYERRA SRI SAI PRANEETHnoreplyijo@gmail.comSANGEESA UDAY KIRANnoreplyijo@gmail.comKESHETTY RAHULnoreplyijo@gmail.comIMANDI HARSHAnoreplyijo@gmail.com<p>Sign language is a very important means of communication for people with hearing difficulties, through which they can express themselves and interact. In our project, we developed a system that quickly understands gestures in sign languages as performed in videos. For this system we have used an advanced object detecting algorithm known as YOLO v5. Our goal is to help the deaf communicate better by recognizing their signs.</p> <p> We have trained our system to follow different signs in real time video feeds and interpret them into texts. After much testing and fine-tuning, we made sure that our model could perform well even in contrasting situations. More than any other technique, it can accurately comprehend what is being signed. This system has taken major strides towards assisting the deaf through such technologies like computer vision and deep learning.</p> <p>Our system in the real-time sign language detection has come up with an effective solution to help improve communication and accessibility by people with hearing impairment. Furthermore, it helps easier interaction between deaf individuals and those who can hear properly. Through this project, we anticipate facilitating easy participation in meaningful engagements that will lead to their empowerment in order express themselves better and communicate assertively with others.</p>2024-03-31T00:00:00+00:00##submission.copyrightStatement##