i need a Architectural Design for my project and tis is the sdetails of my project Problem Definition:

In today's job market, students find it difficult to assess whether they are ready for an interview. They may have difficulty determining whether they are mentally prepared to face the challenges of an interview and succeed. Psychological preparation for the interview is an important aspect that cannot be ignored. While students may be able to develop technical and professional skills, they may experience anxiety or psychological stress during the interview process, which may affect their performance. This raises important questions: How can technology help students prepare for interviews? Is there a need for simpler ways to assess interview readiness? And can listening to a student's voice tell us if they're ready for an interview? We believe our project can provide answers to these questions and help recent graduates feel more confident about their job interviews.

$1\mathrm{.}2$ Project Objectives

In this project, we aim to study and build a website as a platform for conducting training interviews with artificial intelligence. We define our objectives as follow:

$$ To create an AI$-$powered system capable of analyzing students' emotional states through voice input.

$$ To conduct an interview via text after passing the readiness assessment.

$$ To evaluate students' performance after conducting the interview and provide them with results and feedback.

$$ To develop a user$-$friendly interface for students to engage with the AI system seamlessly.

$$ To accurately assess students' readiness for job interviews based on emotional analysis.

$1\mathrm{.}3$ Project Scope

The outcome of this project will be a website. Train me AI$-$powered system will be trained to assess students' emotional readiness for job interviews through voice analysis. Once the readiness assessment is passed, the system will arrange for a text$-$based interview. If the readiness assessment is not passed, the interview will not be conducted. Additionally, the system will include a performance analysis feature to provide students with feedback and insights into their interview performance. ineed it to be like this mor info abot my projct Environment and Tools Used:

Programming Language: The code appears to be written in Python.

Framework: With references to django, it seems to be using the Django framework for web application development.

Libraries: Several Python libraries are used such as joblib, sounddevice, and scipy.

Database: An SQL database such as PostgreSQL or SQLite could be used, as it's natively supported in Django.

Media Storage: The uploaded audio files are stored in the media folder.

Database:

A database is used to store user data and interview responses. Django models can be used to represent and store this data in an SQL database.

There could be tables to store user data, such as usernames, passwords, and contact information. And tables to store interview data such as questions, answers, and predictions.

Media Storage:

The media folder is used to store audio files recorded by users.

Django can be configured to use a custom media folder to store media and files uploaded through the application.

In summary, the project relies on a Python and Django environment for web application development, utilizing a database to store user and interview$-$related data, in addition to media storage for audio files recorded by users. Through the provided code snippets, we can discern the project's concept based on the functions and operations they represent. Here's a general idea of the project:

The project seems to be related to audio processing and emotion recognition from recorded voices, as well as automatically handling and storing interview responses. The overarching idea of the project might be to create a system capable of recording and analyzing audio, and then presenting useful responses or inferences based on the analysis.

Here are some key points to understand the project's concept:

$1.**$Audio Recording$**$: The $`$record$\_$audio$`$ function is used to record audio from a source, such as a microphone.

$2.**$Emotion Analysis from Audio$**$: The project seems to utilize a pre$-$trained model to analyze emotions from recorded voices. This analysis is used to provide predictions about the emotions associated with the recorded voice.

$3.**$Presentation and Storage of Interview Responses$**$: The $`$save$\_$audio$`$ function receives recorded interview responses from users. These responses are saved as audio files and processed and stored for later use, such as statistical analysis or monitoring.

In summary, the project appears to revolve around developing a system that utilizes audio processing and machine learning techniques to record and analyze audio, and then present and store the data in a useful manner.