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Mindset - AI-Driven Mental Health Platform

Welcome to Mindset, an AI-driven mental health platform that is revolutionizing mental well-being. This project incorporates cutting-edge technologies such as Flask, SQL, OpenCV, HTML, CSS, and JavaScript to provide users with a unique and immersive mental health experience.

Features

  1. VR Psychiatrist Meetings: Engage in virtual reality meetings with AI-driven psychiatrists for personalized therapy sessions.

  2. AR Yoga Teachers: Practice yoga with augmented reality (AR) teachers, offering real-time feedback on your poses for an enhanced yoga experience.

  3. AI-Based Yoga Pose Detection: Utilizing OpenCV, the platform employs AI algorithms to detect and analyze yoga poses, providing users with valuable insights and improvements.

  4. Anonymous Community: Connect with others in an anonymous community to share and discuss feelings, fostering a supportive environment for users.

Project Structure

The project is organized into the following directories:

  • .idea: Configuration files for the IDE.
  • pycache: Compiled Python files.
  • images: Repository for image assets.
  • website: Core files for the website.
  • detection.py: Python script for yoga pose detection using OpenCV.
  • main.py: Main Flask application file.
  • requirements.txt: List of project dependencies.
  • speech.py: Python script for speech-related functionalities.
  • suryanamaskaar.py: Python script for a specific yoga routine.
  • tempCodeRunnerFile.py: Temporary code runner file.
  • userinfo.db: SQLite database file for user information.

Getting Started

  1. Clone the repository:

    git clone https://github.com/Tanmaycode1/Mindset-Mental-Health-Platform.git
  2. Navigate to the project directory:

    cd Mindset-Mental-Health-Platform
  3. Install the required dependencies:

    pip install -r requirements.txt
  4. Run the application:

    python main.py

    The platform will be accessible at http://localhost:5000/ in your web browser.

Technologies Used

  • Backend: Flask (Python)
  • Database: SQLite
  • Computer Vision: OpenCV
  • Frontend: HTML, CSS, JavaScript

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