TechChat

TechChat: An Intelligent Admission Enquiry Assistant for KNUST

Overview

TechChat is a web-based chatbot application aimed at assisting prospective students with their admission inquiries at Kwame Nkrumah University of Science and Technology (KNUST). Users can interact with TechChat to obtain information on admission requirements, application procedures, and more.

Features

• Real-time Interaction: Provides instant responses to user queries about KNUST admissions.
• Feedback System: Allows users to provide feedback on the responses to continually improve the bot's accuracy.
• User-Friendly Interface: Simple and intuitive UI/UX design to enhance user interaction.
• Loading Animation: Displays a loading animation while fetching responses to enhance user experience.
• Text-to-Speech: Converts the bot’s responses to speech, making it accessible for users with visual impairments.

Technologies Used

• Frontend: HTML, CSS, JavaScript
• Backend: Flask (Python)
• Styling: Custom CSS with Flexbox layout
• Icons: Font Awesome
• Fonts: Google Fonts (Roboto)
• Animations: Custom CSS animations for loader

Getting Started

Prerequisites

• Python 3.x
• Flask

Installation

1. Clone the repository:

   git clone https://github.com/pfrimpong11/tech_chat.git
   cd techchat

2. Install the required packages:

   pip install -r requirements.txt

3. Run the Flask app:

   python app.py

4. Open your browser and navigate to http://localhost:5000 to see the application in action.

Usage

1. Type your admission-related query in the input box and press Enter or click the send button.
2. Wait for the bot to respond. A loading animation will appear while the response is being fetched.
3. Listen to the bot’s response using the text-to-speech feature by clicking the speaker icon.
4. Provide feedback on the response to help improve the bot’s accuracy.

Contributing

We welcome contributions to enhance TechChat. Please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes and commit them (git commit -m 'Add new feature').
4. Push to the branch (git push origin feature-branch).
5. Create a new Pull Request.

Acknowledgements

• KNUST for providing the resources and information for the chatbot.
• Font Awesome for the icons used in the application.
• Google Fonts for the Roboto font.

Contact

For any inquiries or support, please contact [email protected].