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i need a class diagram shows the interact in my project idea th isea of my projct is : The modern job market is experiencing

i need a class diagram shows the interact in my project idea th isea of my projct is : The modern job market is experiencing rapid technological advancements, and it's time we leverage them to improve the hiring process. Our project aims to make it easier to know if a student is ready for a job interview or not. We're doing this by asking them questions and listening to their voice to understand how they feel. The big idea behind our project is to use artificial intelligence to analyze a student's voice. We're looking at things like tone, pitch, and rhythm to figure out if they're ready to face an interview confidently. What makes our project stand out is its simplicity. Students just need to answer a few questions, and our AI does the rest. It listens to their voice and decides if they're ready to tackle an interview. It's all about making things straightforward and stress-free for students.
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.
1.2 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.
1.3 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. he 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:
Audio Recording: The record_audio function is used to record audio from a source, such as a microphone.
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.
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. This code snippet consists of two functions related to audio recording and saving:
1.**record_audio function**: This function is responsible for recording audio. It takes two parameters: `filename`(the name of the file to save the recorded audio to) and `duration`(the duration of the recording in seconds). Inside the function, it sets the sample rate to 44100 Hz, initiates the recording using the `sd.rec` function from the `sounddevice` library, waits for the recording to complete with `sd.wait()`, and finally saves the recorded audio to the specified file using the `sf.write` function from the `soundfile` library.

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