Abstract: A system and a method for promoting a tutor on a platform. The system receives a tutor profile from the tutor. The tutor profile comprises a set of information about the tutor and a first cohort of students assigned to the tutor. The system randomly assigns a question received from a student belonging to a second cohort of students to the tutor in real time. The system further receives an answer to the question from the tutor. Further, the system analyses the answer based on a machine learning model. Subsequently, the system requests feedback about the tutor from the student of the second cohort of students. The system evaluates the tutor based on the plurality of parameters and the feedback receiving using deep learning algorithms. Finally, the system promotes the tutor for a group coaching of the students on the platform.

Abstract: A system and a method for connecting a tutor with a student in real time. Initially, the system receives a student profile. Further, the system receives a question from the student. Furthermore, the system synthesizes the question based on a set of predefined machine learning model. Subsequently, the system determines a cohort of the students from the set of the cohort of the students. The cohort of the students is determined based on the one or more parameters related to the question. Further, the system identifies a tutor assigned to the cohort of the students. Subsequently, the system notifies the tutor in real time. Further, the system receives an acknowledgement from the tutor within a predefined time. Finally, the system connects the tutor with the student in real time when the acknowledgement is the positive acknowledgement.

Abstract: A system and a method for connecting a tutor with a student in real time. Initially, the system receives a student profile. Further, the system receives a question from the student. Furthermore, the system synthesizes the question based on a set of predefined machine learning model. Subsequently, the system determines a cohort of the students from the set of the cohort of the students. The cohort of the students is determined based on the one or more parameters related to the question. Further, the system identifies a tutor assigned to the cohort of the students. Subsequently, the system notifies the tutor in real time. Further, the system receives an acknowledgement from the tutor within a predefined time. Finally, the system connects the tutor with the student in real time when the acknowledgement is the positive acknowledgement.

Abstract: A system and a method for assigning a tutor to a cohort of students. The system receives information from a tutor. The information comprises a name, academic details, preferred languages, a subject of interest, a topic of interest, an introductory video of the tutor, and available time slots. The system further automatically generates a question for a tutor in real-time based on the information. Furthermore, the system receives an answer to the question from the tutor in an answer format. Subsequently, the system generates an assessment report of the tutor. Further, the system computes a similarity index of the tutor with a profile of a cohort of the students. Finally, the system assigns the tutor to the cohort of the students based on the similarity index, feedback received from the cohort of the students, and the available time slots of the tutor.

Abstract: A system and a method for assigning a student to a cohort in real time on a platform. The system receives a set of information from a student for enrolling the student on the platform. Further, the system receives a question from the student. Furthermore, the system extracts a plurality of parameters from the question based on a machine learning model. Subsequently, the system creates a student profile based on the plurality of parameters and the set of information. Further, the system determines a difficulty level of the question using deep learning algorithms. Furthermore, the system computes a similarity score of the student on the platform in real time. Finally, the system automatically assigns the student to a cohort on the platform. The cohort is a subset of the students on the platform.

Abstract: A system and a method for assigning a student to a cohort in real time on a platform. The system receives a set of information from a student for enrolling the student on the platform. Further, the system receives a question from the student. Furthermore, the system extracts a plurality of parameters from the question based on a machine learning model. Subsequently, the system creates a student profile based on the plurality of parameters and the set of information. Further, the system determines a difficulty level of the question using deep learning algorithms. Furthermore, the system computes a similarity score of the student on the platform in real time. Finally, the system automatically assigns the student to a cohort on the platform. The cohort is a subset of the students on the platform.

Abstract: A system and a method for promoting a tutor on a platform. The system receives a tutor profile from the tutor. The tutor profile comprises a set of information about the tutor and a first cohort of students assigned to the tutor. The system randomly assigns a question received from a student belonging to a second cohort of students to the tutor in real time. The system further receives an answer to the question from the tutor. Further, the system analyses the answer based on a machine learning model. Subsequently, the system requests feedback about the tutor from the student of the second cohort of students. The system evaluates the tutor based on the plurality of parameters and the feedback receiving using deep learning algorithms. Finally, the system promotes the tutor for a group coaching of the students on the platform.

Abstract: A system and a method for assigning a tutor to a cohort of students. The system receives information from a tutor. The information comprises a name, academic details, preferred languages, a subject of interest, a topic of interest, an introductory video of the tutor, and available time slots. The system further automatically generates a question for a tutor in real-time based on the information. Furthermore, the system receives an answer to the question from the tutor in an answer format. Subsequently, the system generates an assessment report of the tutor. Further, the system computes a similarity index of the tutor with a profile of a cohort of the students. Finally, the system assigns the tutor to the cohort of the students based on the similarity index, feedback received from the cohort of the students, and the available time slots of the tutor.

Abstract: A system and a method for connecting a tutor with a student in real time. Initially, the system receives a student profile. Further, the system receives a question from the student. Furthermore, the system synthesizes the question based on a set of predefined machine learning model. Subsequently, the system determines a cohort of the students from the set of the cohort of the students. The cohort of the students is determined based on the one or more parameters related to the question. Further, the system identifies a tutor assigned to the cohort of the students. Subsequently, the system notifies the tutor in real time. Further, the system receives an acknowledgement from the tutor within a predefined time. Finally, the system connects the tutor with the student in real time when the acknowledgement is the positive acknowledgement.