Youth committing suicides is the major public health issue in the world. It is the third leading death reason in the United States of America for ages between 13-18. Many adults who have suicidal thoughts or make a decision of committing suicide plan never approach any professional for help or advise. Most of the cases, people attempting suicide don’t express it a lot in person due to the judgmental attitude of society. We have come with an idea of using WHO published data on suicide. With this we evaluate results to recognize and reduce the suicidal risk of the age group committing more suicides. We can use the same data to target the right audience through social media and campaigns to prevent it and reduce the cases. Linear regression and Random Forest algorithms are used which can predict the possible cases of suicides. We included a prediction algorithm called fbprophet. Once the analysis of the dataset is completed, we visualize the data and the group of audience committing more suicides will be targeted on social media. In the part of prevention, the audience is targeted on Facebook by using a parameter like the age, sex, and region. For this Facebook provides a paid medium through which we can provide awareness and motivation for targeted people.