LingoBot is a dynamic language learning platform, initially designed to aid in learning Urdu, a language considered underrepresented in technology. Our platform leverages generative AI to provide an interactive and engaging learning experience, and it can easily be adapted to other languages as well.
- Voice Interaction: Users can interact with the system by speaking into a microphone. The platform uses an Urdu Automatic Speech Recognition (ASR) system to convert spoken prompts into text.
- Story Generation: Text prompts are processed by the GPT-4 Turbo model to generate stories tailored to user preferences.
- Playback Controls: Stories can be played, paused, and navigated through (fast forward or rewind).
- Text Display: Alongside auditory output, stories are displayed in a beautiful Urdu font.
LingoBot also includes a versatile voice chatbot with the following functionalities:
- General Conversational AI: Engage in day-to-day conversations in Urdu.
- Adventure Story Game: Activate this mode by saying "آؤ کہانی سفر کھیلیں" (Let's play a story adventure).
- Urdu Grammar Teacher: Learn and practice Urdu grammar interactively. Activate this by saying "اُردو پڑھتے ہیں" (Let's study Urdu).
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Ensure you have node.js and npm installed on your system to run the front-end part of LingoBot. For the backend, Python and pip are required.
- Navigate to the frontend directory.
- Install dependencies:
npm install
- Start the frontend:
npm start
Follow these steps to set up and run the backend server for LingoBot:
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Navigate to the server folder: Change into the server directory where the backend code resides.
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Install the necessary Python libraries: Run the following command to install dependencies listed in
requirements.txt:pip install -r requirements.txt
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Add Your Key: Get your openai key and add it in the
server.pyfile. -
Run the server: Start the server using uvicorn with the command below:
uvicorn server:app --reload
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Mughees Ur Rehman
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Saleha Muzammil