Nitin realises that proper documentation, planning, review and feedback are necessary for project success. He saw that Purva was missing her reviews due to a hectic work schedule, he also observed that Purva could not give detailed feedback due to lack of time . Her team members did not understand the feedback due to lack of exposure. So Nitin started preparing videos around frequently given feedbacks, like initiatives, comprehension etc. So, Purva started giving videos as feedback , Nitin appointed Rehmat to check if the team members are implementing the feedback or not , what kind of an intelligent system would you create to automate what Nitin was doing manually?*Your answerNextClear form

To automate what Nitin was doing manually, an intelligent system could be created that includes the following components:

1. Feedback Analysis System: This system would use Natural Language Processing (NLP) to analyze the content of the feedback videos. It would transcribe the spoken words into text and then analyze the text to understand the key points of the feedback. This could include identifying common themes or issues that are frequently mentioned.

2. Feedback Implementation Tracking System: This system would monitor the work of the team members to check if they are implementing the feedback. This could be done by using machine learning algorithms to analyze the work output of the team members and compare it to the feedback given. For example, if the feedback was about improving initiative, the system could analyze the team members' work to see if they are taking more initiative.

3. Automated Review Scheduler: This system would automatically schedule reviews based on the team members' work schedules. It could use machine learning algorithms to predict when each team member would have time for a review and schedule it accordingly.

4. Automated Feedback Generation System: This system would use the analysis from the Feedback Analysis System and the Feedback Implementation Tracking System to generate new feedback. This feedback could then be delivered in the form of a video, using text-to-speech technology and video generation software.

5. Learning Management System (LMS): This system would provide the team members with resources to understand and implement the feedback. This could include articles, videos, and other educational materials related to the feedback topics.

By integrating these components, the intelligent system would automate the process of giving and tracking feedback, making it more efficient and effective.