C.A.L.M - AI-Powered Mental Health and Emotional Support Chatbot for Students

This repository contains the source code for C.A.L.M, an AI-powered mental health and emotional support chatbot designed specifically for students. The chatbot leverages the Gemini language model to provide responses to user queries in a conversational manner.

🚀 Project Overview

C.A.L.M is designed to assist students by providing mental health and emotional support through conversational AI. The chatbot ensures a supportive and user-friendly experience, maintaining a history of interactions and offering real-time responses. With its streamlined interface powered by Streamlit, it is both intuitive and effective.

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🌟 Features

• Conversational Support: Provides mental health and emotional support tailored to student needs.
• Real-Time AI Responses: Utilizes the Gemini language model for accurate and context-aware answers.
• Session-Based Chat History: Retains chat history for a seamless user experience.
• Streamlit Framework: Ensures a user-friendly and visually appealing interface.
• Daytona Integration: Leverages the Daytona framework for efficient model deployment and optimized performance.

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🛠️ Getting Started

Prerequisites

Before running the application, ensure you have the following installed:

• Python 3.12 or higher
• pip (Python package installer)

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Installation

1. Install Daytona

Follow the Daytona installation guide to set up Daytona on your system.

2. Create the Workspace

Run the following command to create your workspace:

daytona create https://github.com/daytonaio/sample-python-calm-app

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3. Install Dependencies:

pip install -r requirements.txt

4. Set Up Environment Variables:

• Create a .env file in the project root directory.
• Add your Google API key:

  GOOGLE_API_KEY=your_api_key_here

5. Run the Application:

streamlit run app.py

Open the application in your browser at http://localhost:8501 (default).

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🚦 Usage

1. Launch the application using the command:

   streamlit run app.py

2. Interact with the chatbot by entering your questions or concerns in the input field.
3. Continue the conversation seamlessly as the chatbot provides supportive and empathetic responses.

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📂 Project Structure

• app.py: Main application file for running the chatbot.
• .env: Stores sensitive environment variables, including the API key.
• requirements.txt: Contains all dependencies required for the project.

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🛡️ Contributing

We welcome contributions to make C.A.L.M even better! If you want to contribute:

1. Fork the repository on GitHub.
2. Create a feature branch:

   git checkout -b feature-name

3. Commit your changes:

   git commit -m "Add your message here"

4. Push your branch and open a pull request:

   git push origin feature-name

Ensure your code is well-documented and follows the project’s coding standards.

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📜 License

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

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📧 Contact

For questions, suggestions, or feedback, please reach out to:

• Email: [email protected]

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🚀 Future Enhancements

• Multi-Language Support: Enable responses in various languages.
• Persistent Storage: Store chat history across sessions.
• Improved Emotional Intelligence: Enhance the chatbot’s ability to detect and respond to emotional cues.
• Mobile Compatibility: Optimize for mobile devices.
• Enhanced Daytona Integration: Further utilize Daytona for scaling and additional performance optimization.

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Thank you for exploring C.A.L.M! We hope this tool supports you in meaningful ways.