Real-Time Chatbot 🤖

Welcome to the Real-Time Chatbot project! In this repository, we are building a real-time chatbot that uses rule-based logic to communicate with users seamlessly. This project combines various technologies and tools to create an interactive web application that can engage users effectively.

Table of Contents

• Introduction
• Features
• Technologies Used
• Installation
• Usage
• Contributing
• License
• Contact
• Releases

Introduction

Chatbots are becoming an essential part of user interaction in various domains, including customer service, education, and entertainment. This project aims to develop a chatbot that can respond to user queries in real-time using predefined rules. The bot will understand user inputs and provide relevant responses based on the programmed logic.

Features

• Real-Time Interaction: The chatbot can respond to user messages instantly.
• Rule-Based Logic: The bot uses a set of rules to determine appropriate responses.
• User-Friendly Interface: The web application has a clean and simple design for easy interaction.
• Emotion Detection: The chatbot can recognize user emotions and adjust its responses accordingly.
• Multi-Platform Support: The chatbot can be accessed from any device with a web browser.

Technologies Used

This project leverages a variety of technologies to build a robust chatbot:

• AIML: Used for defining the chatbot's knowledge base.
• Flask: A lightweight web framework for building the server-side application.
• HTML, CSS, JavaScript: For creating the front-end interface.
• JSON: For data interchange between the client and server.
• Python 3: The primary programming language for backend development.
• Dialogflow: For advanced natural language processing capabilities.
• VSCode: The integrated development environment used for coding.
• Render: For deploying the web application.

Installation

To get started with the Real-Time Chatbot, follow these steps:

1. Clone the Repository:

   git clone https://github.com/nikhom14/Real-Time-Chatbot.git

2. Navigate to the Project Directory:

   cd Real-Time-Chatbot

3. Install Dependencies: Make sure you have Python 3 installed. Then, run:

   pip install -r requirements.txt

4. Run the Application: Start the Flask server by executing:

   python app.py

5. Access the Chatbot: Open your web browser and go to http://127.0.0.1:5000 to start interacting with the chatbot.

Usage

Once the application is running, you can type your messages into the chat interface. The chatbot will analyze your input and respond based on its rule-based logic.

Example Interactions

• User: "Hello!"

• Chatbot: "Hi there! How can I assist you today?"

• User: "I'm feeling sad."

• Chatbot: "I'm sorry to hear that. Is there anything specific you'd like to talk about?"

Contributing

We welcome contributions from everyone! If you would like to contribute to the Real-Time Chatbot project, please follow these steps:

1. Fork the Repository: Click the "Fork" button at the top right of the repository page.
2. Create a New Branch:

   git checkout -b feature/YourFeatureName

3. Make Your Changes: Edit the files and make your improvements.
4. Commit Your Changes:

   git commit -m "Add your message here"

5. Push to Your Fork:

   git push origin feature/YourFeatureName

6. Create a Pull Request: Go to the original repository and submit a pull request.

License

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

Contact

For questions or suggestions, feel free to reach out:

• Author: nikhom14
• Email: your.email@example.com

Releases

To download the latest release of the Real-Time Chatbot, visit the Releases section. Download the necessary files and execute them to run the application.

You can also check the "Releases" section for updates and new features.

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Thank you for your interest in the Real-Time Chatbot project! We hope you find it useful and engaging. Happy coding!