[FEAT] Implement Feedback System

[alin484]

Summary

Add a system where users can leave self-feedback on their responses and view feedback for each interview question.

Motivation

A feedback system enhances self-assessment by letting users reflect on their answers, improving self-awareness. Viewing past feedback can also assist in tracking improvement.

Detailed Description

• Self-Reflection Tool: Let users leave personal feedback after watching their video replays, including written notes and Likert scale ratings.
• Feedback Review: Display feedback left for each interview question and allow users to revisit it.
• Performance Sorting: Let users sort their interview responses based on self-assigned ratings.

Possible Alternatives

Introduce automated feedback based on AI analysis of the user's response, providing objective insights.

Additional Context

This feature will encourage users to engage more deeply with their responses, aiding in self-improvement.

Implementation

• Implement a UI for users to leave notes and ratings after viewing a video response.
• Store feedback in the user profile, linked to the specific question or session.
• Develop sorting functionality to organize responses based on feedback ratings.

[axu732]

Current user schema for analytics. Stored as an array that will contain sessions.

[axu732]

For text, use ChatGPT and query an API asking how well the user has answered the question based on the answer provided by the user. Make sure that ChatGPT always returns a number in their response to be able to read a score for a question and be able to create a median score that can be stored in the database user schema for future use in graphs and retrieving the historical data on the profile.

[quaidsage]

Self assessment for video and automatic assessment for text has already been implemented, thus this issue can be closed.