Mr. Latte
CashFeed
Duration: September, 2017 - March, 2018
A mobile flyer service that analyzes user patterns based on location and recommends nearby stores. Users can redeem points when viewing ads, and accumulated points can be exchanged for goods.
Key Development
- Developed location-based store recommendation algorithm
- Implemented Tinder-style swipe UI
- Built user reaction measurement and analysis system
- Developed ad-viewing based point accumulation system
- Implemented point-to-goods exchange system
- Developed personalized recommendation feature through user behavior pattern analysis
Tech Stack
- Platform: Android
- Languages: Java, Kotlin
- Technologies: Location-based services, user behavior analysis
- UI/UX: Tinder-style card swipe interface
- Features: Ad curation, point accumulation, goods exchange
Collaboration & Support
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