MOOD MATCH AI
MoodMatch is an application that analyzes biometric signals from a smartwatch to predict the user's emotions. By utilizing Apple Watch data—such as heart rate, blood oxygen level, and skin temperature—the app analyzes and displays the user’s current emotional state. Based on this, it recommends the most suitable restaurants, cafes, and local attractions to match the user's mood.
Users can also share the recommendations they receive with other Mooders. Additional features include daily emotion tracking and point accumulation.
Optimized experience with your smartphone
Optimized experience with your smartphone
With seamless integration between smartwatch and mobile, MoodMatch transforms emotion-centered lifestyle.
From real-time health data collection, emotion analysis, personalized recommendations, and mood journaling to community features — it delivers a new experience where users can manage, share, and even earn rewards for their emotions anytime, anywhere through their smartphone and smartwatch.
FEATURES
- Health Data Analysis via Smartwatch Integration: Collects and analyzes health data through a smartwatch and provides results on both the mobile app and the watch.
- Emotion-Based Personalized Place Recommendations: Recommends restaurants, cafes, and attractions that can improve the user's mood based on emotional analysis.
- Check-in-Based Community Activities: Users can check in at locations, write posts, and engage in social activities such as comments, likes, and follows.
- Point Accumulation and Rewards System: Users earn points by using the app and can exchange them for various rewards.
- Emotion Logging and Trend Tracking: Users can record their daily emotions and track emotional changes over time.
TECHNOLOGY
- Flutter
- Spring Boot
- React JS
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