🤖 VibeCheck-Chatbot Model with Sentiment & Intent Recognition 🌟

Welcome to the Chatbot Model project! This application is a Java-based chatbot designed to support users with helpful quotes and responses based on intent recognition and sentiment analysis. It's perfect for mental health support, conversational AI, or as a foundational project for advanced chatbot applications. 🚀

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📌 Features

• 💬 Intent Recognition: Uses machine learning (Naive Bayes with Weka) to detect the user's intent.
• 🧠 Sentiment Analysis: Analyzes user sentiment using Stanford CoreNLP to enhance responses.
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• 📜 Quote Retrieval: Provides relevant quotes based on the recognized intent.
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• ⚡ Real-time Processing: Multithreaded for smooth and responsive interaction.
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• 📂 Data-Driven: Uses CSV files for training intents and storing quotes for easy customization.

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🛠️ Tech Stack

• Java 22: The core programming language.
• Stanford CoreNLP: For advanced NLP and sentiment analysis.
• Weka: For training and intent classification using machine learning.
• Maven: Dependency management and build automation.
• SLF4J: Simple and flexible logging.

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🚀 Getting Started

Prerequisites

Ensure you have the following installed:

• Java 22+
• Maven

Setup Instructions

1. Clone the Repository:

   git clone [https://github.com/22pt16/IntentDetection_ChatBot]
   cd IntentDetection_ChatBot

2. Set Up Resources:

   • Place your intent.csv and quotes.csv files in the src/main/resources directory.

3. Build the Project:

   mvn clean install

4. Run the Application:

   java -cp target/Chat-1.0-SNAPSHOT.jar org.example.ChatbotModel

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💻 Example Usage

1. Start the chatbot:

   Welcome to Mental Support Bot! 
   I'm here to listen and offer support. Please type 'help' for more information or ask a question to get started!
   

2. User Input:

   User: I feel stressed.
   

3. Chatbot Response:

   Sentiment: Negative
   Intent: mental-support
   Chatbot: "It's okay to feel overwhelmed sometimes. Take a deep breath and focus on one step at a time."
   

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🤝 Contributing

Contributions are welcome! 🎉 If you'd like to improve this project:

• Fork the repository.
• Create a new branch for your feature (git checkout -b feature-name).
• Commit your changes (git commit -m 'Add feature-name').
• Push to your branch (git push origin feature-name).
• Submit a pull request.

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📜 License

This project is licensed under the MIT License.

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🌟 Let's Build Together

We hope you find this project helpful for building your own conversational AI applications. Feel free to reach out if you have questions or suggestions! 🤗

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