# Emotion Tracker Chat App

**Tier:** 3-Advanced

The Emotion Chat Tracker App is designed to help users monitor and analyze their emotional well-being through conversations. 
It provides a platform for users to track their emotions over time, gaining insights into patterns and trends. 
The app employs sentiment analysis and user input to create visualizations and reports, fostering self-awareness and mental health management.


## User Stories

-   [ ] User can log emotions during a conversation.
-   [ ] User can view sentiment scores for each message.
-   [ ] User can customize and create new emotion categories.
-   [ ] User can explore their emotional history through a timeline/calendar.
-   [ ] User can receive reflective prompts to enhance self-awareness.

## Bonus features

-   [ ] Integration with wearables or biometric data for real-time emotion tracking.
-   [ ] Machine learning-based personalized insights and recommendations.
-   [ ] Social sharing of emotional insights (with user's consent) to foster community support.
-   [ ] Integration with mental health resources or professionals for timely support.

## Useful links and resources

- [Natural Language Toolkit (NLTK)](https://www.nltk.org/)
- [TensorFlow for sentiment analysis](https://www.tensorflow.org/text/tutorials/text_classification_rnn)
- [Chart.js for data visualization](https://www.chartjs.org/)

## Example projects

- [Moodistory for iOS](https://apps.apple.com/us/app/emotion-tracker-moodistory/id1335347860)
- [Reflectly for iOS](https://apps.apple.com/us/app/reflectly-journal-ai-diary/id1241229134)