{"references": ["IEEE Journals in IEEE explore about: Sign Language Recognition Techniques- A Review 2020 IEEE International Conference for Innovation in Technology (INOCON) Bengaluru,India. Nov 6-8, 2020.", "Mahesh Kumar N B, \"Conversion of Sign Language into Text\", in International Journal of Applied Engineering Research ISSN 09734562 Volume 13, Number 9 (2018) pp. 7154-7161.", "Arsan, Taner and Ulgen, Oguz. (2015). Sign Language Converter.International Journal of Computer Science and Engineering Survey. 6. 39-51. 10.5121/ijcses.2015.6403.", "Rajesh George Rajan, M Judith Leo ISSN: 2277-3878, Volume- 7, Issue-6, March 2019.", "K. Hogan, R. Stubbs, \"Can't get Through 8 Barriers to Communication\", Pelican Publishing Company, Grenta, LA, 2003.", "Ms Kamal Preet Kour, Dr. Lini Mathew, Paper Id: IJTRS-V2-I7- 005, Volume 2 Issue VII, August 2017.", "Sagar P.More, Prof. Abdul Sattar, \"Hand gesture recognition system for dumb people\", International Journal of Science and Research (IJSR)", "Adithya, V. and Vinod, P.R. and Gopalakrishnan, Usha. (2013). Artificial neural network based method for Indian sign language recognition. 1080-1085. 10.1109/CICT.2013.6558259", "Sunitha K. A, Anitha Saraswathi.P, Aarthi.M, Jayapriya. K, Lingam Sunny, \"Deaf Mute Communication Interpreter- A Review\", International Journal of Applied Engineering Research, Volume 11, pp 290-296, 2016", "Mandeep Kaur Ahuja, Amardeep Singh, \"Hand Gesture Recognition Using PCA\", International Journal of Computer Science Engineering and Technology (IJCSET), Volume 5, Issue7, pp. 267-27, July 2015"]}

One of the standard sign language techniques is the use of hand gestures. The world is exceedingly tough to converse with for those who are hard of hearing. This project offers a solution that will allow disabled individuals to effortlessly communicate with sighted people by not only automatically recognising hand gestures but also converting them into text and vocal output. A computer-attached camera will take pictures of hands, and contour feature extraction will be utilised to identify the person's hand gestures. based on the acknowledged