AI-IELTS-Speaking

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AI-IELTS-Speaking

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AI IELTS Speaking assistant is a fun app to learn English speaking

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# AI IELTS Speaking SparkAI Competition Project

# Table of Contents

- [AI IELTS Speaking SparkAI Competition Project](#ai-ielts-speaking-sparkai-competition-project)
- [Table of Contents](#table-of-contents)
- [Overview](#overview)
- [Requirements](#requirements)
- [Usage](#usage)
    - [dashboard page](#dashboard-page)
    - [chat page](#chat-page)
    - [run the app](#run-the-app)

# Overview

The project aims to develop an artificial intelligence model that can generate high-quality IELTS speaking test questions and answers. This project is based on the following steps:

1. Data collection: Collect a large dataset of IELTS speaking test questions and answers from various sources.
2. Data preprocessing: Preprocess the collected data to remove any irrelevant information and clean the data.
3. Data augmentation: Enhance the dataset by applying various techniques such as synonyms, definitions, and back translation to generate new questions and answers.
4. Model development: Develop a deep learning model that can generate high-quality IELTS speaking test questions and answers.
5. Model evaluation: Evaluate the performance of the developed model on the IELTS speaking test question and answer test set.
6. Model deployment: Deploy the developed model as a web application or mobile application for user use.

```
git clone https://github.com/LegendZDY/AI-IELTS-Speaking.git
```

# Requirements

1. Python 3.12+
2. Python modules:
   - streamlit
   - ag2
   - ipykernel
   - numpy
   - pydub
   - av
   - twilio
   - ffmpeg
   - spark_ai_python
   - streamlit-audiorecorder
   - streamlit-extras
   - websocket
   - websocket-client==1.8.0

# Usage

## dashboard page

 <img src="doc/demo1.jpg" alt="sponsor" width=100%>

## chat page

 <img src="doc/demo2.jpg" alt="sponsor" width=100%>

## run the app
```
streamlit run app.py
```

AI-IELTS-Speaking

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