Assigning a student to a cohort on a platform

A system for assigning a student to a cohort in real time on a platform, the system compromising:

• a memory;
• and
• a processor coupled to the memory, wherein the processor is configured to execute program instructions stored in the memory for:
• receiving a set of information from a student for enrolling the student on a platform, wherein the set of information comprises a demographic information, an academic detail, a study time preference, a preferred mode of communication, an aspiration, a study pattern, and a preferred language of learning, and wherein the platform connects the student with a tutor in real time for a live one to one interaction;
• receiving a question from the student, wherein the question is received in at least an image form, a textual form, and an audio form;
• extracting a plurality of parameters from the question based on a machine learning model, wherein the plurality of parameters comprise a subject, a topic, a sub-topic, a category, and a language of the question, and wherein the question is numerical, conceptual and analytical;
• creating a student profile based on the plurality of parameters and the set of information provided by the student;
• determining a difficulty level of the question using deep learning algorithms, wherein the difficulty level is determined based on a number of time the question is received on the platform and the plurality of parameters associated to the question;
• computing a similarity score of the student on the platform in real time, wherein the similarity score is computed based on a comparison of the student profile, the plurality of parameters, and the difficulty level of the question with a set of students enrolled on the platform;
• and
• automatically assigning, the student to a cohort on the platform, wherein the cohort comprises a subset of the students with the similarity score more than a predefined threshold, and wherein the predefined threshold is based on the topic of the question.

A non-transitory computer program product having embodied thereon a computer program for assigning a student to a cohort in real time on a platform, the computer program product storing instructions, the instructions comprising instructions for:

• receiving a set of information from a student for enrolling the student on a platform, wherein the set of information comprises a demographic information, an academic detail, a study time preference, a preferred mode of communication, an aspiration, a study pattern, and a preferred language of learning, and wherein the platform connects the student with a tutor in real time for a live one to one interaction;
• receiving a question from the student, wherein the question is received in at least an image form, a textual form, and an audio form;
• extracting a plurality of parameters from the question based on a machine learning model, wherein the plurality of parameters comprise a subject, a topic, a sub-topic, a category, and a language of the question, and wherein the question is numerical, conceptual and analytical;
• creating a student profile based on the plurality of parameters and the set of information provided by the student;
• determining a difficulty level of the question using deep learning algorithms, wherein the difficulty level is determined based on a number of time the question is received on the platform and the plurality of parameters associated to the question;
• computing a similarity score of the student on the platform in real time, wherein the similarity score is computed based on a comparison of the student profile, the plurality of parameters, and the difficulty level of the question with a set of students enrolled on the platform;
• and
• automatically assigning, the student to a cohort on the platform, wherein the cohort comprises a subset of the students with the similarity score more than a predefined threshold, and wherein the predefined threshold is based on the topic of the question.