Chatbot with MongoDB Integration By Anesu Ndava

This project implements a sophisticated chatbot with MongoDB integration for storing user interactions.

Features

• Speech recognition: The chatbot can recognize speech input using the SpeechRecognition library.
• Text-to-speech: The chatbot can respond with synthesized speech using the pyttsx3 library.
• MongoDB integration: User interactions are stored in a MongoDB database for future reference and training.
• Machine learning: The chatbot utilizes scikit-learn to train a Naive Bayes classifier on user interactions for intent recognition.
• Natural language processing: The chatbot uses a bag-of-words model for text classification.

Installation

1. Clone the repository:

   git clone https://github.com/your_username/chatbot.git

Install dependencies:

```bash

pip install -r requirements.txt ```

Set up MongoDB:

Install MongoDB on your local machine or use a cloud-based MongoDB service. Update the MongoDB connection string in the code (initialize_database() and store_data() functions) to connect to your MongoDB instance. Run the chatbot:

python chatbot.py

Usage

When prompted, speak to the chatbot, and it will respond accordingly. User interactions will be stored in the MongoDB database (chatbot_db).

License

This project is licensed under the MIT License - see the LICENSE file for details.