The process of creating descriptions for the events depicted in an image is known as image captioning. Deep Learning Models can be used to accomplish this image captioning. It is an extremely difficult issue to automatically generate a caption or explanation for an image using any natural language sentence. It takes techniques from computer vision to comprehend the image's content and a language model from natural language processing to translate the comprehension of the image into words in the correct sequence. Deep learning and natural language processing have advanced to the point where creating captions for the provided photos is now simple. We use a Convolutional Neural Network (CNN) that has been trained beforehand to extract high-level features, such as objects, forms, and textures, from photos. A Long Short-Term Memory (LSTM) network, a kind of Recurrent Neural Network (RNN) that can handle sequential input like sentences, is then fed these features.