Smart Launcher
An Android launcher prototype that predicts the next apps a user is likely to open using contextual signals and usage history.
Smart Launcher is an experimental Android launcher focused on making mobile navigation faster and more adaptive. Instead of relying on a static home screen, it analyzes contextual signals such as time, location, connectivity state, battery level, and recent app launches to surface relevant app suggestions in real time. The project implements a custom on-device recommendation pipeline using feature-vector generation and nearest-neighbor style ranking, showcasing practical Android engineering, behavioral modeling, and product-oriented thinking around intelligent mobile UX.
Context
Problem Solved
Traditional launchers present the same interface regardless of user context, forcing repetitive navigation. Smart Launcher addresses this by dynamically ranking and surfacing apps based on recent behavior and situational context, reducing friction in day-to-day device usage.
Execution
Key Features
Context-aware app suggestions driven by time, location, connectivity, battery, and recent usage patterns
Custom launch-history based recommendation engine using similarity scoring over generated feature vectors
Adaptive home screen predictions intended to improve speed and reduce repetitive app searching
Searchable app drawer with launcher-first workflow
Built-in experimentation around intelligent mobile UX and personalized app access
Gallery
Product Gallery
A visual walkthrough of the interface, workflows, and key states captured from the project.