RoboTeacher: Learning Reading And Listening Comprehension With ChatGPT

This app targets language learners to practice reading and listening comprehension using online articles. Online articles are scraped daily. Questions, translations and voice-overs are generated from the passage with ChatGPT. Learn at RoboTeacher

Architecture

The application runs on a serverless architecture on AWS. Lambda is triggered daily using Cloudwatch Events to scrap online articles. The article is sent to OpenAI to generate questions, translated text, and voice-overs. The audio is saved on S3 and can be publicly accessed. The generated data is saved in MongoDB. The lambda is exposed via API Gateway as a RESTful API to allow the frontend to invoke the API and fetch data. The infrastructure is configured with Terraform.

Setup

Setup Database

• Create a free MongoDB database

Setup AWS infrasturcture

• Setup Terraform Cloud to provision resources on AWS
• Initialise and apply changes in the deployment folder

terraform init
terraform apply

Backend

• Install python 3.8
• Create and update the environment variables in .env in the backend folder

pip install -r requirements.txt
python3 lambda_function.py

• Build docker image and push to AWS Lambda

bash build.sh

Frontend

• Install node v18 and yarn v1.22
• Create and update the environment variables in .env in the frontend folder

yarn install
yarn start

Experiments

• Experiments are conducted in the exp folder

Reference

• https://www3.nhk.or.jp/news/easy/

TODO

• Categorise the difficulty levels
• Add “Buy me a coffee”
• Support for other languages
• Minimize cost from ChatGPT