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# Emotion Tracker Chat App
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**Tier:** 3-Advanced
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The Emotion Chat Tracker App is designed to help users monitor and analyze their emotional well-being through conversations.
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It provides a platform for users to track their emotions over time, gaining insights into patterns and trends.
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The app employs sentiment analysis and user input to create visualizations and reports, fostering self-awareness and mental health management.
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## User Stories
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- [ ] User can log emotions during a conversation.
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- [ ] User can view sentiment scores for each message.
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- [ ] User can customize and create new emotion categories.
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- [ ] User can explore their emotional history through a timeline/calendar.
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- [ ] User can receive reflective prompts to enhance self-awareness.
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## Bonus features
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- [ ] Integration with wearables or biometric data for real-time emotion tracking.
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- [ ] Machine learning-based personalized insights and recommendations.
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- [ ] Social sharing of emotional insights (with user's consent) to foster community support.
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- [ ] Integration with mental health resources or professionals for timely support.
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## Useful links and resources
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- [Natural Language Toolkit (NLTK)](https://www.nltk.org/)
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- [TensorFlow for sentiment analysis](https://www.tensorflow.org/text/tutorials/text_classification_rnn)
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- [Chart.js for data visualization](https://www.chartjs.org/)
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## Example projects
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- [Moodistory for iOS](https://apps.apple.com/us/app/emotion-tracker-moodistory/id1335347860)
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- [Reflectly for iOS](https://apps.apple.com/us/app/reflectly-journal-ai-diary/id1241229134)
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