1. A method for creating a classifier capable of predicting a personality type of one or more users, said method comprising: receiving, by a transceiver, a first tag associated with each of one or more messages, from a crowdsourcing platform, wherein said first tag relates to said personality type of said one or more users, wherein said one or more messages are shared by said one or more users on one or more social media platforms, wherein each of said one or more messages include one or more types of messages, and wherein said one or more types of messages comprise at least one of an audio message, a video message, or a text message; segregating, by one or more microprocessors, said one or more messages, tagged with said first tag, into a first data set and a second data set, wherein said first data set corresponds to a training data, wherein said second data set corresponds to a testing data, and wherein each of said training data and said testing data comprises a set of messages from said one or more messages; determining, by said one or more microprocessors, one or more parameters associated with said set of messages in said training data based on said one or more types of messages; determining, by said one or more microprocessors, one or more combinations of said one or more parameters; training, by said one or more microprocessors, one or more classifiers for said personality type, wherein each of said one or more classifiers is trained for a combination from said one or more combinations of said one or more parameters; predicting, by said one or more microprocessors, a second tag for said set of messages in said testing data using said trained one or more classifiers; determining, by said one or more microprocessors, a performance of each of said one or more classifiers, based on a comparison of said second tag with said first tag associated with said set of messages in said testing data; and selecting, by said one or more microprocessors, said classifier from said one or more classifiers, wherein said selected classifier is indicative of a best combination from said one or more combinations of said one or more parameters to predict said personality type of said one or more users.