This repository contains the code and resources for a chatbot built using Rasa framework to handle UGC-related enquiries and university admission-related queries in Sri Lanka.

The UGC Chatbot is designed to provide assistance to students seeking information about universities, admission requirements, programs offered, policies, scholarships, and other relevant details. The chatbot is built using Rasa, an open-source conversational AI framework.

1. Clone the repository:

   git clone https://github.com/your-username/ugc-chatbot.git

Change into the project directory:

shell Copy code cd ugc-chatbot Create a virtual environment:

shell Copy code python -m venv env Activate the virtual environment:

On Linux/macOS:

shell Copy code source env/bin/activate On Windows:

shell Copy code env\Scripts\activate Install the required dependencies:

shell Copy code pip install -r requirements.txt Usage To train and run the UGC Chatbot, follow these steps:

Train the Rasa model:

shell Copy code rasa train Start the Rasa action server:

shell Copy code rasa run actions Start the Rasa chatbot server:

shell Copy code rasa run --enable-api Interact with the chatbot using the provided user interface or by sending API requests.

Customization You can customize the chatbot's responses, intents, stories, and actions by modifying the relevant files in the project directory. The training data can be found in the data directory, and the response templates can be modified in the domain.yml file