A method of providing feedback to a presenter in a remote meeting, comprising: capturing images of remote participants in the remote meeting using cameras associated with computing devices that display content presented by the presenter; determining eye gaze angle information for at least one of the remote participants based on the captured images; identifying at least one region of interest in the displayed content based on the eye gaze angle information; providing feedback to the presenter including an indication of the identified at least one region of interest; and wherein the determining, identifying, and providing are performed by at least one processor wherein the at least one region of interest in the displayed content based on the eye gaze angle information includes an identification of the part or parts of the presentation content receiving the most attention from the participants, wherein temporal attention information of overall participants during the remote meeting is generated and provided to presenter, wherein determining eye gaze angle information comprises: detecting a left eye and a right eye of the at least one remote participant in the captured images; extracting features from the detected left eye and the detected right eye using at least one convolutional neural network; wherein extracting features further comprises: extracting a first set of features from the detected left eye using a first convolutional network trained with left eye information; extracting a second set of features from the detected right eye using a second convolutional network trained with right eye information, estimating, with a first machine learning prediction module, a first eye gaze angle value based on the extracted first set of features; estimating, with a second machine learning prediction module, a second eye gaze angle value based on the extracted second set of features, and calculating a mean of the first eye gaze angle value and the second eye gaze angle value to determine a final estimated eye gaze angle value. capturing images of remote participants in the remote meeting using cameras associated with computing devices that display content presented by the presenter; determining eye gaze angle information for at least one of the remote participants based on the captured images; identifying at least one region of interest in the displayed content based on the eye gaze angle information; providing feedback to the presenter including an indication of the identified at least one region of interest; and wherein the determining, identifying, and providing are performed by at least one processor wherein the at least one region of interest in the displayed content based on the eye gaze angle information includes an identification of the part or parts of the presentation content receiving the most attention from the participants, wherein temporal attention information of overall participants during the remote meeting is generated and provided to presenter, wherein determining eye gaze angle information comprises: detecting a left eye and a right eye of the at least one remote participant in the captured images; extracting features from the detected left eye and the detected right eye using at least one convolutional neural network; detecting a left eye and a right eye of the at least one remote participant in the captured images; extracting features from the detected left eye and the detected right eye using at least one convolutional neural network; extracting a first set of features from the detected left eye using a first convolutional network trained with left eye information; extracting a second set of features from the detected right eye using a second convolutional network trained with right eye information, estimating, with a first machine learning prediction module, a first eye gaze angle value based on the extracted first set of features; estimating, with a second machine learning prediction module, a second eye gaze angle value based on the extracted second set of features, and calculating a mean of the first eye gaze angle value and the second eye gaze angle value to determine a final estimated eye gaze angle value.