Chatbot

An interactive AI-powered chatbot built with Python, designed to engage in conversations, answer general questions, perform simple math operations, fetch Wikipedia summaries, and log unknown queries for future improvements. It also features a user-friendly GUI built with Tkinter.

✨ Features

• Natural Language Processing with SpaCy for input preprocessing.
• Wikipedia Integration using wikipediaapi to fetch summaries.
• Simple Math Operations like addition, subtraction, multiplication, division, powers, modulus, and square roots.
• Country Capitals response from predefined data.
• Context Awareness for user-specific queries (e.g., remembering names).
• GUI Interface built with Tkinter for interactive chat.
• Unknown Query Logging in unknown_queries.txt for future enhancements.

🛠 Technologies Used

• Python 3
• Visual Studio Code
• SpaCy (en_core_web_md model) for NLP
• Wikipedia-API for fetching article summaries
• Tkinter for GUI
• scikit-learn and numpy for cosine similarity
• JSON for storing predefined responses
• textwrap, re, math, and os for text handling and system operations

📁 Project Structure

Chatbot/
│
├── app.py           # Main chatbot logic and GUI
├── responses.json       # Predefined chatbot responses
├── unknown_queries.txt  # Logs unknown user queries
├── requirements.txt     # Dependencies
└── README.md            # Project documentation

⚡ Installation

Clone the Repository

git clone https://github.com/ifra817/CodeAlpha_Chatbot_Ifra.git
cd CodeAlpha_Chatbot_Ifra

Set Up Virtual Environment

python -m venv venv

# Activate the virtual environment
# On Windows:
venv\Scripts\activate

# On Mac/Linux:
source venv/bin/activate
Note: The virtual environment folder (venv/) has been excluded from the repository. Use the provided requirements.txt to install dependencies.

Install Dependencies

pip install -r requirements.txt
python -m spacy download en_core_web_md

🚀 Usage

Run the chatbot with:

python app.py

📌 Future Enhancements

• Advanced NLP capabilities for better understanding and context.
• More API Integrations (e.g., weather, news).
• Voice Interaction Support using speech recognition.
• Improved GUI with themes and user settings.
• Machine Learning for dynamic response generation.