This Survey Paper entails detailed research on all possible solutions for a crime witness to be able to submit crime tips, while staying anonymous. In present times, crimes are increasing at a high rate and so is the technology which is used to tackle them. However, even to this day, throughout the world, most people who witness crimes don’t come forward to report them due to fear of getting into unnecessary procedures and interrogations. The aim of our project is to promote the social responsibility of citizens to come forward and talk about crimes they have witnessed, without having to fear repercussions. Our application also aims at rewarding these anonymous tip providers to increase their participation. We are also making crime documentation easy and cost effective by using decentralized means of storage with the help of Blockchain. This not only keeps information safe but also reduces cost on servers. In addition to this, we are utilizing Machine Learning and NLP to be able to auto categorize crimes along with ensuring genuineness by checking for morphed image submissions, thus reducing user’s effort. Apart from being a user-friendly application, our platform is very essential to Crime investigators, especially for undercover agents who work on the basis of insider information. This app helps in gaining clues and have prior knowledge of extremely dangerous crimes like terror attacks or bomb blasts which could pose national threats.