Abstract Utilization over Internet has been altogether expanded during most recent couple of decades. People groups saving additional time via web-based networking media locales. In this exploration proposition, we are intrigued to anticipate the character of clients by assessing their tweets. Up to this point, to accurately measure customer’s characters, they predictable to get a character test. This made it unrealistic to utilize character examination in plentiful online networking spaces. In this examination proposition, we apply neural systems by which a client's character can be precisely anticipated through the freely accessible data on their Twitter profile. We will portray the sort of information gathered, our strategies for assessment, and the AI methods that permit us to effectively foresee character. This data is essential for organizations to target possible buyers or look for client suppositions in case of enhancement as a business methodology. In this way, this work examines online networking information to anticipate huge character characteristics, for example characteristics or qualities explicit to a person. The main strides towards web based life locales, raises information size and volume. The measure of information that is transferred to these person to person communication administrations is expanding step by step. Along these lines, there is gigantic prerequisite to contemplate the exceptionally unique conduct of clients towards these administrations. This is a starter work to demonstrate the client designs and to contemplate the viability of AI prescient displaying approaches on driving long range interpersonal communication administration Facebook. We demonstrated the client remark patters, over the post on FB Pages & anticipated that what number of comments a position is required to obtain in next H hours.