SnapKeeper

Challenge 1: Image Caching Implementation

Implementing a robust caching system for saving images locally while maintaining their metadata and handling blob URLs across different application states.

Solution Approach

Utilized the Cache API to store image blobs locally, converted images to JSON strings for cache indexing, and implemented URL.createObjectURL for displaying cached images while tracking the relationship between original and new blob URLs.

Challenge 2: Face Detection Integration

Integrating the MediaPipe face detection API to analyze saved images and display detection results with appropriate visual feedback.

Solution Approach

Leveraged MediaPipe's face detection model to analyze saved images, created dynamic overlay elements to highlight detected faces, and displayed confidence scores for each detection.

Challenge 3: Asynchronous Operations Management

Managing multiple asynchronous operations when fetching images, processing blobs, and updating the UI while maintaining a smooth user experience.

Solution Approach

Implemented a structured approach to handle multiple asynchronous operations by combining Promise.all for parallel image fetching, async/await for sequential operations, and proper error handling to maintain UI responsiveness and provide user feedback throughout the process.