Appointment scheduling platform for managing a waitlist using integrated programmatic and engineered artificial intelligence

A data processing system for managing a waitlist in an appointment scheduling platform that can be accessed by a user using a user device, the data processing system comprising:

• at least one processors;
• and
• a memory, coupled to the one more processors, storing code that when executed by the at least one processors causes the data processing system to perform operations comprising:
• receive a request from a user to book an appointment schedule based on at least one user preferences, wherein the at least one user preferences include at least one expert's details, timestamps, date of therapy session, and session duration;
• identify at least one available appointment schedules corresponding to at least one user preferences, wherein each appointment schedule includes at least one session slots;
• and
• collect at least one requests from the user to be added to a waitlist if at least one user preferences do not match with at least one available appointment schedules;
• an appointment monitoring system to track the waitlist in case of at least one appointment cancellations comprises:
• a machine learning module to generate a prompt to import user preferences and guide and constrain an artificial intelligence engine to perform operations comprising to operate on multiple scheduling factors of waitlisted users to prioritize the users on the waitlist based on a plurality of factors;
• and
• a comparator to match at least one user preferences to create an eligibility list of the user, wherein the eligibility list is created based upon the exclusion criteria which decides who all users are to be excluded from sharing the notifications about the availability of at least one vacant session slots;
• a notification module to notify the user of the eligibility list upon the availability of at least one vacant session slots due to at least one cancelled appointment based on machine learning algorithm-based prioritization of the user;
• a confirmation module to confirm the booking of the appointment schedule after the user submits the user selection.

A non-transitory, computer program product for monitoring video of a meeting room for distracted participants, the computer program product having executable code stored therein that when executed by at least one processors causes a computer system to perform operations comprising:

• receiving a request from a user to book an appointment schedule based on at least one user preference;
• identifying at least one available appointment schedule corresponding to the at least one user preferences, wherein each appointment schedule includes at least one session slot;
• generating a prompt to import user preferences and guide and constrain an artificial intelligence engine to perform operations comprising:
• operate on multiple scheduling factors of waitlisted users to present a waitlist option to the user through a user interface if the at least one user preference does not match with the available appointment schedules, wherein the user provides at least one waitlist related information via the presented user interface;
• and
• identify at least one preferred vacant session slot in real-time based on the provided at least one waitlist related information and cancellation of session slots by other users;
• and
• notifying the user about the availability of at least one preferred vacant session slot, wherein the notification is sent to the user based on at least one pre-defined criterion.