Mental health issues among Gen Z in Indonesia have been on the rise, with limited access to services tailored to their needs. Our team identified this gap and developed an innovative solution combining machine learning, mobile development, and cloud computing to empower users in managing their mental health. By leveraging technology, we aim to help users independently understand their mood patterns and improve their overall well-being.

Our team engaged in discussions and conducted initial research to explore how technology can address mental health challenges. With our diverse expertise, we envisioned an application that leverages machine learning for emotion recognition and personalized recommendations, making mental health care more accessible and relevant to Gen Z users.

• Mood Analysis with Machine Learning

  • Emotion recognition using selfie photos and text analysis.
  • Identification of trigger factors influencing mental states through journal analysis.

• Features for Users

  • Emotion Detection: Analyzes emotions through facial detection in selfies.
  • Mood Journaling: Stores and processes user journals for mood tracking and recommendations.
  • Personalized Recommendations: Suggests activities and tips based on mood analysis.
  • Regular Notifications: Encourages users to fill out mood journals consistently.
  • Interactive Chatbot: Provides advice based on journal entries and detected emotions.

• Secure Data Management

  • Journal data and analysis results are stored safely and can be reviewed in the journal history.

• A mobile application that allows users to:
  • Monitor daily moods and maintain mood journals.
  • Perform emotional analysis using facial recognition and text inputs.
  • Receive activity suggestions and mental health tips based on mood patterns.
  • Set reminders to record their moods regularly.
  • Access journal history with all stored data and insights.

• Machine Learning: Emotion recognition models for selfies and text.
• Mobile Development: Android application tailored for a seamless user experience.
• Cloud Computing: Secure and scalable data storage and processing.

We welcome contributions to enhance the app! Here's how you can help:

1. Fork the repository.
2. Create a new branch for your feature or bug fix: git checkout -b feature-name.
3. Commit your changes: git commit -m "Add feature-name".
4. Push the branch: git push origin feature-name.
5. Submit a pull request.

For questions or feedback, please contact us at:

• Email: jagamentalapp@gmail.com

Let's work together to create a positive impact on mental health for Generation Z!