11. A method comprising: determining, by one or more processors, a meeting has initialized between a first user and a second user, wherein vocal and video recordings are produced for at least the first user; receiving, by one or more processors, the vocal and video recordings for the first user; analyzing, by one or more processors, the vocal and video recordings for the first user according to one or more parameters for speech and one or more parameters for gestures; identifying, by one or more processors, the one or more parameters for gestures, wherein the one or more parameters are selected from a group of measures including: folding arms across the chest, clenching fists, smiling, frowning, raising eyebrows, nodding, and flaring nostrils; analyzing, by one or more processors, the one or more parameters for gestures; producing, by one or more processors, at least one output data point for each of the one or more parameters for gestures; determining, by one or more processors, one or more emotions and a role in the meeting for the first user based at least on the analyzed vocal and video recordings; identifying, by one or more processors, one or more highest recurring output data points from the at least one output data point for each of the one or more parameters for gestures; identifying, by one or more processors, the one or more highest recurring output data points as the one or more emotions for the first user; determining, by one or more processors, the role in the meeting for the first user based at least on the identified one or more emotions for the first user; and sending, by one or more processors, an output of analysis to at least one of the first user and the second user, wherein the output of analysis includes at least the determined one or more emotions and the role in the meeting for the first user.
11. A method comprising: determining, by one or more processors, a meeting has initialized between a first user and a second user, wherein vocal and video recordings are produced for at least the first user; receiving, by one or more processors, the vocal and video recordings for the first user; analyzing, by one or more processors, the vocal and video recordings for the first user according to one or more parameters for speech and one or more parameters for gestures; identifying, by one or more processors, the one or more parameters for gestures, wherein the one or more parameters are selected from a group of measures including: folding arms across the chest, clenching fists, smiling, frowning, raising eyebrows, nodding, and flaring nostrils; analyzing, by one or more processors, the one or more parameters for gestures; producing, by one or more processors, at least one output data point for each of the one or more parameters for gestures; determining, by one or more processors, one or more emotions and a role in the meeting for the first user based at least on the analyzed vocal and video recordings; identifying, by one or more processors, one or more highest recurring output data points from the at least one output data point for each of the one or more parameters for gestures; identifying, by one or more processors, the one or more highest recurring output data points as the one or more emotions for the first user; determining, by one or more processors, the role in the meeting for the first user based at least on the identified one or more emotions for the first user; and sending, by one or more processors, an output of analysis to at least one of the first user and the second user, wherein the output of analysis includes at least the determined one or more emotions and the role in the meeting for the first user. 13. The method of claim 11 , further comprising: receiving, by one or more processors, a meeting type selection from the first user, and responsive to determining one or more suggestions for the first user based at least on the meeting type selection, sending, by one or more processors, an output of the one or more suggestions to the first user.