• DISHA GEORGE
• JIGNASHA PARMAR

Engraving captions has been looking forward for the reliable manual work over the captions that are helpful in describing the picture with a derivative caption. The use of technology has depicted its role into which, it will be using the few concepts like Artificial intelligence which would manage the process of automation and the other things are neural network which would be undergoing the recurrent neural network where it would mainly focus on the neural work using the highlights of both the supervised as well unsupervised method. This application will be helpful in maintaining the significance of the user over their picture with relevant captions. The main focus of the given context will be totally defined by the process of describing the picture into its regulated and mandatory format. The image would be undertaken as the reference for the captions and would be engraved into the required format of the captions. The user would be glad to be enhanced by the eye catching and focused captions that would be delivered by the main content provider. Basic focus would be only on the requirement of user and the request that has to be responded by the content provider with the best and fascinating captions that would be deriving the occasion.

Keywords— Caption, image, RNN, CNN

"SURVEY ON ENGRAVING CAPTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1648-1650, June-2020, Available :http://www.jetir.org/papers/JETIR2006238.pdf

"SURVEY ON ENGRAVING CAPTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1648-1650, June-2020, Available at : http://www.jetir.org/papers/JETIR2006238.pdf