https://www.alialjoubory.com/contact daily 0.75 2025-12-04 https://www.alialjoubory.com/projects daily 1.0 2026-02-26 https://www.alialjoubory.com/projects/mygoldenhour monthly 0.5 2025-12-04 https://images.squarespace-cdn.com/content/v1/5ed79344b57fa260646287b2/333ac29e-20aa-422b-be6b-1563e278e414/06.png Projects - mygoldenhour - 7 day plan mygoldenhour focuses on delivering across the information you need to prepare for that golden hour shoot with a 7 day plan of golden hour times and weather forecasts. Integrates Apple’s WeatherKit API as well as on-device golden hour algorithms to calculate your times accurately. https://www.alialjoubory.com/projects/myfastingtracker monthly 0.5 2025-12-04 https://images.squarespace-cdn.com/content/v1/5ed79344b57fa260646287b2/08cbc2b0-b70c-4779-a7ae-0664b94e1242/05.png Projects - myfastingtracker - Design + Language myfastingtracker focuses on a few things and aims to get those few things perfectly right. It’s simple and straightforward UI welcomes a user right into what they care about most, tracking missed fasts. In addition, having the ability to turn on smart reminders to alert you if Ramadan has nearly arrived and you still have outstanding fasts to make up, allows users to always be on top of what matters most. The real challenge with myfastingtracker came from the full localisation support for both English and Arabic. More than just translating words and numbers, it required a full understanding of how right-to-left users would use an app, such as flipping the settings button over and ensuring the primary button (in this case add fasts) was on the right. It was a feature I felt was most important to allow you to get in the mood and presence that Ramadan brings every year and hence worth all the added effort. https://www.alialjoubory.com/projects/myfilmfinder monthly 0.5 2025-12-07 https://images.squarespace-cdn.com/content/v1/5ed79344b57fa260646287b2/14fdc895-d986-49dc-8eeb-f5f84cd26830/04.png Projects - myfilmfinder - LLM’s and databases Using the power of AI, myfilmfinder can find any movie from a given prompt such as a line, a scene, an actor/director combo or simply a moment. For recommendation, it works the same but this time understands a preferred genre, vibe, mood, runtime or even date ranges. Marrying the power of AI with TMDB, one of the largest movie databases in the world, allowed me to find the user’s film in seconds and present it back with rich, detailed information along with gorgeous posters and backdrops. A single tap on ‘More Details‘ allows the user to see all the associated information including a dedicated Where to Watch section that shows where a film can be streamed, rented or brought based on location.