Bolashaq Q&A Chatbot

This is a multilingual AI chatbot built with Rasa to assist users with information about the Bolashak scholarship. The chatbot can answer frequently asked questions in Kazakh, Russian, and English and is designed to run on a local machine.

Features

• Multilingual Support (Kazakh, Russian, English) using Google Translate API
• Natural Language Processing (NLP) powered by Rasa
• Intent-based Responses for accurate answers
• Easy Deployment on local machines or cloud platforms
• Integration with Telegram, WhatsApp, and Web (Optional)

Installation

1️⃣ Clone the Repository

git clone https://github.com/YOUR_USERNAME/bolashaq_chatbot.git
cd bolashaq_chatbot

2️⃣ Set Up a Virtual Environment

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3️⃣ Install Dependencies

pip install -r requirements.txt

4️⃣ Train the Rasa Model

rasa train

5️⃣ Run the Chatbot

rasa shell

6️⃣ Run the Action Server

rasa run actions

Configuration

Edit credentials.yml to Connect with Telegram

telegram:
  access_token: "YOUR_BOT_TOKEN"
  verify: "YOUR_BOT_USERNAME"
  webhook_url: "YOUR_WEBHOOK_URL"

Running the Bot on a Web Interface

To enable API access, use:

rasa run -m models --enable-api --cors "*" --debug

Contributing

1. Fork the repository.
2. Create a feature branch.
3. Commit your changes.
4. Push the branch and create a Pull Request.

License

This project is open-source and available under the MIT License.

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Developed by: ZhanEspo