Fluently

Language learning applications are widely used, but most fail to provide personalized lessons and feedback based on a user’s real-time performance. This project aims to bridge this gap by creating a language learning app that adapts question difficulty dynamically based on user performance in open-ended exercises. The app generates personalized lessons for each user based on their skill level and analyzes user responses using natural language processing (NLP) techniques to provide real-time feedback on grammar, vocabulary, and semantic comprehension.

How to Install Required Dependencies:

1. Open a terminal window cd language-learning-app
2. Run cd backend to access the backend folder
3. Run pip install -r requirements.txt to install required dependencies
4. Run python -m spacy download en_core_web_md to install additional required dataset
5. Open another terminal window cd language-learning-app
6. Run cd app to access the frontend folder
7. Run npm install to install required dependencies

How to Run:

1. Open a terminal window cd language-learning-app
2. Run uvicorn backend.app:main --reload to start the server
3. Open a new terminal window and cd language-learning-app/app
4. To start the application, run npm run dev

How to Use:

1. Create a User Account to track learning progress
2. Generate a quick language lesson that will evaluate your responses using NLP techniques
3. Further your learning!

Demo:

https://youtu.be/W9ZlIGC3o_E

Developed By:
Maviya Yaseen
Safa Mohammed
Sally Qalawi

Course: NLP 6320