Therapy AI App

Therapy AI is a web application designed to assist users with their mental health through daily reflections, mood tracking, task management, and personalized interactions with an AI-powered therapist. It creates a supportive and calming environment for users to improve their well-being.

Features

• Daily Thought: A new, motivational thought appears every time a user visits the app, encouraging reflection.
• Chat with AI: Users can interact with an AI therapist, which offers empathetic and supportive responses.
• Task Management: Organize and manage daily tasks to reduce stress and improve productivity.
• Mood Tracking: Visualize mood patterns over time with a mood graph.
• Soft Vibes Interface: A calming, intuitive user interface designed for relaxation.

Tech Stack

Frontend: HTML, CSS, Bootstrap

Backend: Django (Python)

AI: Hugging Face Transformers models

Task Management: Task organization and tracking features

Mood Tracking: Graph-based visualization of mood patterns

Installation

1. Clone the repo:

   git clone https://github.com/ShradhaGadia/HackFrost_mental_heath
   cd mental-health

2. Install dependencies:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
   pip install -r requirements.txt

3. Apply migrations:

   python manage.py migrate

4. Start the server:

   python manage.py runserver

Visit http://127.0.0.1:8000/ to view the app.

Kestra Integration

Use Kestra for task automation (e.g., sending reminders or processing background tasks). Install the Kestra Python client and interact with the Kestra API to automate workflows.

Usage

• Home Page: Displays a daily thought and options to:

  • Chat with AI: Interact with the AI therapist.
  • View Tasks: Manage and track your tasks.
  • View Mood Graph: Track and visualize your mood.

• Chat with AI: The AI therapist provides empathetic and supportive responses to help users reflect on their thoughts and emotions.

• Tasks: Add, manage, and complete daily tasks to help stay organized and reduce stress.

• Mood Graph: Track and visualize emotional patterns over time.

Contributing

1. Fork the repository.
2. Create a new branch (git checkout -b feature-name).
3. Make your changes and commit (git commit -am 'Add new feature').
4. Push the changes to your branch (git push origin feature-name).
5. Submit a pull request.

Acknowledgments

• Hugging Face: For providing transformer models for AI therapy.
• Bootstrap: For the responsive design framework.