Summary:
Replace or complement the current mood slider with an emoji-based mood selector to make mood tracking more intuitive, expressive, and engaging.

Motivation:

• Emojis are more relatable and friendly than numeric sliders.
• Helps users quickly express how they feel.
• Enables more empathetic, AI-powered responses.

Implementation Outline:

• Display a row of clickable emoji buttons (😄 😊 😐 😢 😠) using st.columns() in Streamlit.
• When clicked, store the mood in st.session_state.
• Use the selected mood to trigger a dynamic message from Gemini API:
  • 😄 → “That's great to hear! Want to reflect on what made you smile?”
  • 😢 → “It's okay to feel down. Would writing about it help?”
• (Optional): Log mood history for future visualization.

📱 UI Suggestions:

• Responsive emoji layout for mobile.
• Smooth feedback after clicking (highlight/animation).
• Display AI suggestion in a styled message card.

📈 Expected Outcome:

• More user-friendly mood tracking.
• Empathetic user experience.
• Solid foundation for journaling and visualization features.

Labels: enhancement, gssoc25, level 2

Would you be able to assign this feature enhancement to me?
Thank you!