Pronunciation & Confidence-Boosting Chatbot 🗣️🤖

An AI-powered chatbot designed to help users improve their pronunciation, build confidence, and practice communication skills. The chatbot provides personalized feedback, interactive conversations, and generates detailed progress reports.

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Features ✨

• Interactive Chat: Engage in meaningful conversations to practice communication skills.
• Phoneme Practice: Focused exercises to improve pronunciation of specific sounds.
• Text-to-Speech: Audio feedback with adjustable speed and clarity.
• Speech Recognition: Converts spoken words into text for interaction.
• Progress Analysis: Generate a PDF report with conversation insights, progress charts, and user details.
• Custom Styling: Visually appealing chat bubbles and user interface.

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Technologies Used 💻

• Frontend:

  • Streamlit for building the user interface.
  • Custom CSS for styling chat bubbles and buttons.

• Backend:

  • Groq API for AI-generated responses.
  • SpeechRecognition for handling voice input.
  • pyttsx3 for text-to-speech conversion.
  • Python as the primary programming language.

• PDF Generation:

  • ReportLab for creating detailed progress reports.
  • Charts generated with Matplotlib and Seaborn.

• Speech & Audio:

  • Py Audio for capturing and playing back audio on Raspberry Pi or compatible devices.

• Version Control:

  • Git for version control and collaboration.
  • GitHub for hosting the repository and managing issues.

• Visualization & Reporting:

  • Matplotlib for generating charts and graphs in reports.
  • Seaborn for enhanced data visualization.

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Installation 🛠️

1. Clone the Repository:

   https://github.com/abhaydixit07/confidence-Pronunciation-boosting-chatbot.git
   cd confidence-Pronunciation-boosting-chatbot
   

2. Set Up the Environment:

   • Create a virtual environment and activate it:

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

   • Install dependencies:

     pip install -r requirements.txt

3. Add API Key:

   • Create a file named apiKey.py in the root directory.
   • Add your Groq API key:

     GROQ_API_KEY = "your-groq-api-key"

4. Run the Application:

   streamlit run Conversational AI.py

5. Access the App: Open your browser and navigate to http://localhost:8501.

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How to Use 📖

1. Start the Chatbot:

   • Launch the application and interact with the chatbot.
   • You can type messages or use the "Start Listening" button to speak.

2. Practice Pronunciation:

   • Follow the bot's guidance for phoneme exercises like "p" and "b," or "s" and "sh."

3. Generate Progress Reports:

   • After a session, click on "Generate Report" to download a detailed PDF analysis.

4. Listen to Feedback:

   • Use the integrated text-to-speech feature for audio responses.

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License 📜

This project is licensed under the MIT License.

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Acknowledgments 🙏

• The Groq API for enabling advanced conversational capabilities.
• The Streamlit team for an excellent framework for building interactive apps.
• Open-source libraries like ReportLab and SpeechRecognition.