A simple Python program that helps you record, view, and analyze your daily moods - created as part of my journey learning Python and GitHub version control.

• 📝 Log your mood for the day
• 📖 View your mood history (stored in a local text file)
• 📊 See a mood summary showing how often each mood occurs
• 📤 Export mood history to CSV for data analysis (NEW!)
• 💾 All data saved locally for privacy and simplicity

The Mood Tracker started as a console-based learning project to practice:

• File I/O in Python
• Data storage and retrieval
• Simple analytics (frequency counts)
• Version control and GitHub documentation

It demonstrates progressive skill growth — from basic input/output to structured data handling and CSV exporting.

1. Install Python 3.10+
2. Download or clone this repository:

git clone https://github.com/Ryuji-Kishima-Fella/mood-tracker.git

3. Open the terminal and navigate to the mood_tracker folder:

cd mood_tracker

4. Run the program:

pythoon mood_tracker.py

=== Mood Tracker ===
1. Log today's mood
2. View mood history
3. View mood summary
4. Export mood history to CSV
5. Exit

Mood Summary Example:

📊 Mood Summary:
  Happy: 5 times
  Stressed: 2 times
  Tired: 1 time

Most frequent mood: 😌 Happy

CSV Export Example:

Date,Mood
2025-11-05 19:28:56, Happy
2025-11-05 22:56:59, Tired

• Add charts/graphs
• Add daily reminders
• Turn into a web or mobile app

• First GUI version using CustomTkinter
• Basic mood logging, CSV export, and summary chart

• Added edit/delete moods directly from GUI
• Introduced dark mode support and refreshable pie chart
• Fixed file I/O and auto-refresh issues

• Added date filters (All, Today, Last 7 Days, Last 30 Days)
• Improved window focus behavior for History and Summary
• Enhanced UX with live refresh and theme consistency

1. Update version number in README and CHANGELOG
2. Commit and push changes
3. Run git release vX.Y.Z (or create tag manually)
4. Verify tag appears under Releases