BUCC Admission Chatbot

An AI-powered chatbot designed to assist prospective students with admission-related queries. Built with React.js (frontend), Flask (backend), and Rasa (NLP).

Features

• Text and Voice Support: Users can type or speak their queries.
• Admission Queries: Answers questions about admission requirements, deadlines, fees, and scholarships.
• Dynamic Responses: Uses Rasa for natural language understanding and dialogue management.

Prerequisites

• Python 3.8+
• Node.js 14+ and npm
• Rasa 3.x

Setup Instructions

1. Clone the Repository

git clone https://github.com/peldevon/Bucc-admssion-chatbot.git

cd bucc-chatbot

2. Virtual Environment Creation & Backend Setup

# Create and activate virtual environment
python -m venv venv
source venv/Scripts/activate  # On Mac:venv/bin/activate 

# Navigate to backend directory
cd backend

# Install dependencies
pip install -r requirement.txt

# Start the backend server
python app.py

3. Rasa Setup

# Navigate to rasa-project directory
cd rasa-project

# Install Rasa (if not already installed)
pip install rasa

# Train the model
rasa train

# Start Rasa server (in separate terminals)
rasa run  # Start Rasa server

4. Frontend Setup

# Navigate to frontend directory
cd frontend

# Install dependencies
npm install

# Start the development server
npm start

Development

To work on this project:

1. Start the backend server
2. Run the Rasa server
3. Start the frontend development server
4. Access the application at http://localhost:3000