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This document records all notable changes to the PIXELIQ application.
public/sitemap.xml and public/robots.txt files to improve search engine visibility and indexing for all major pages.public/rss.xml to establish the foundation for a future automated RSS feed for blog content.gemini-2.5-flash model for better performance and consistency.sitemap.xml and robots.txt to improve search engine visibility and indexing.12px for a cleaner look.page_view events on every route change to ensure accurate metrics.pixeliq.ca domain.MoodMeter component. This visually represents the AI-detected sentiment (e.g., "joyful", "somber") with corresponding icons and colored bars, making the analysis more intuitive and engaging.TS2339, TS2322) that were introduced in a previous update. The fixes involved correcting property destructuring in image-analysis-client.tsx, removing invalid props from AnalyzerResultsView.tsx, and cleaning up unused props in AnalyzerErrorView.tsx.ChunkLoadError that occurred during client-side hydration. The issue was traced to the structure of React Context providers in the App Router. The fix involved removing the 'use client' directive from the image-analysis page, ensuring proper server and client rendering alignment. This restores full application functionality.AiDisclaimer.tsx) for better code organization and reusability.useNavigationHandler hook. This improved code quality by adhering to the Single Responsibility Principle, making components more self-contained and reusable.iframe when GPS data is available, providing instant geographic context. A direct link to open the location in a new tab is also provided./debug/exif) to allow users to upload an image and inspect the raw GPS output from the EXIF library, aiding in troubleshooting location data issues.GPSLatitudeRef (N/S) and GPSLongitudeRef (E/W) to generate accurate, world-ready coordinates. This resolves issues where locations in the Western hemisphere were displayed incorrectly.MetaDataDisplay component and the image-helpers.ts library to improve code quality and maintainability. Logic is now broken into smaller, single-responsibility functions and components, adhering to SOLID principles.<p>) formatting rules for the AI, resulting in better-structured content.