Innovative Approach For Identification Of Suspicious Images

Images are the things those are being used in day to day life so much that it has become an important aspect of everyone's life. Images have always been a popular thing to be instantly shared with each other around the globe. Today's world is a place where one can get easily influenced and images being perfect to influence as it easily conveys a lot using visual representation also it tends to be remembered more. Images can have positive influence via means of motivational quotes images also it can have negative influence via means of sharing nude images, images of killing etc. Retrieval of images with object-of-interest from a vast pool of social media images has been a research interest in the understanding of human emotions, situations leading to conflicts, in the field of cybercrime etc. The proposed system is a model for suspicious detection of an image; it is a system which will decide the image is a good or bad influence based on the past and present experiences. The proposed system makes use of more number of attributes than the existing system which makes prediction more accurate. It is a machine learning application where a large amount of data is analyzed and some meaningful information is extracted. The system makes use of the huge dataset of data given to it and that data being trained.