Everyone, including police stations and higher authorities, may use the web programme that makes up the online crime reporting system. The Indian public is understandably anxious and reluctant to report suspicious activity to the authorities. The general people in a certain area might be able to lodge grievances and establish contact with the government using an online registration system. The Online Crime Reporting system allows users to lodge complaints against criminals using many areas of a web-based programme. The website will remain visible to the administrator, who may then take the appropriate steps to display the complaint's status and address it.

Captioning is an important problem for all data mining companies as a whole due to the emergence of new generations. It might be a lengthy and complicated process to interpret such data using a device. A greater grasp of the concept of a picture is necessary for a device to comprehend its context and environmental data. Although conventional methods have not been accompanied by extensive understanding of strategy, this is beginning to change. An automated transcript of image annotations will be generated in this research by using Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) to produce a collection of text that adequately characterises the picture. To organise our model, we used the Flickr 8000 dataset. Since this caption requires a real neural community, we provide clear instructions on how to create one. We start by associating the description with the optical neural network, then we take a picture and break it into features. Then we use CNN