Mind-Flow is an innovative system designed to enhance mental health treatment by integrating cutting-edge technology. The system not only focuses on improving medication and risk analysis with the existing pool of doctors but also prioritizes the empowerment of female users through accurate prediction and tracking of menstrual health influenced by mental health conditions.
The primary objectives of Mind-Flow include:
- Enhancing mental health treatment through the integration of advanced technology.
- Improving medication and risk analysis by leveraging the expertise of existing doctors.
- Empowering female users with accurate prediction and tracking of menstrual health influenced by mental health conditions.
Mind-Flow is a comprehensive system that combines cutting-edge technology, doctor expertise, and user-centric features to provide a holistic approach to mental health treatment.
The High-Level Design (HLD) document outlines the following aspects:
- Detailed design aspects of the system.
- User interface description.
- Hardware and software interfaces.
- Performance requirements.
- Design features and project architecture.
- Non-functional attributes such as security, reliability, maintainability, portability, reusability, application compatibility, resource utilization, and serviceability.
Mind-Flow aims to revolutionize mental health treatment by incorporating cutting-edge technology into existing healthcare frameworks.
The system integrates with electronic health record systems, wearable devices, and user-input data to gather comprehensive information for analysis.
The Medication and Risk Analysis Module facilitates effective collaboration among doctors, allowing them to share insights and contribute collectively to improving mental health treatment.
Mind-Flow features a user-friendly interface, enabling users to interact with the system, input relevant data, and receive personalized recommendations and insights.
The system utilizes a modern technology stack, including:
- Programming Languages: Python, JavaScript
- Frameworks: Flask (backend), HTML, CSS (frontend)
- Database: MongoDB, InfluxDB
- Cloud Services: Atlas for scalability and reliability
- AI/ML Libraries: TensorFlow, scikit-learn
- Data Analytics Tool: Grafana
- Integration: HL7 for healthcare data exchange
Mind-Flow is designed to be user-friendly and as automated as possible, ensuring that administrators are not burdened with manual tasks.
To get started with Mind-Flow, follow these steps:
- Clone the repository.
- Install the required dependencies using the provided
requirements.txt. - Set up the database using the provided scripts.
- Configure the system according to your environment.
- Run the application and access the user interface.
This project is licensed under the MIT License - see the LICENSE.md file for details.
##Documentation https://drive.google.com/drive/folders/1MAlZdO1qh0jmLSnmsw-HLfeA7XVVLU0U?usp=drive_link
to use virtual environment,
pip install virtualenv virtual env env/Scripts/start.ps1
source flask_project/bin/activate