This project is a cutting-edge mental health platform designed to empower users with tools for self-reflection, emotional analysis, and well-being. The platform enables users to add notes, and through advanced algorithms, conducts emotional and sentimental analysis. The insights derived from the analysis are then visualized in a comprehensive pie chart dashboard, promoting self-awareness and emotional well-being.

• Add Notes: Users can easily add notes to capture their thoughts, feelings, or experiences.

• Advanced Algorithms: The platform employs state-of-the-art algorithms to conduct emotional and sentimental analysis on the user's notes.
• Insightful Results: Users gain valuable insights into the emotional content of their notes, helping them understand their mental state.

• Comprehensive Pie Chart: The platform features a visually appealing and informative pie chart dashboard that presents a breakdown of emotional and sentimental data.
• Promoting Self-Awareness: The dashboard promotes self-awareness by providing a clear representation of emotional patterns over time.

• Ensure you have Python installed.
• Install the required dependencies by running: pip install -r requirements.txt

1. Navigate to the frontend directory: cd frontend
2. Install frontend dependencies: npm install

1. Run the backend: python main.py
2. Navigate to the frontend directory: cd frontend
3. Run the frontend: npm start
4. Access the platform through your web browser at http://localhost:3000

• Python
• Flask (Web framework)
• Advanced Emotional and Sentimental Analysis Algorithms
• Chart.js (for Dashboard Visualization)

If you would like to contribute to the development of this project, please follow the contribution guidelines.

• The development of this mental health platform was inspired by the commitment to promoting well-being and self-awareness.
• Special thanks to the contributors and open-source community for their valuable input.