Latest news with #iPhoneApp
Geeky Gadgets
2 days ago
- Geeky Gadgets
How to Build a Complete iPhone App with ChatGPT 5
Creating an iPhone app without prior coding experience may seem daunting, but advancements in artificial intelligence are making this process more accessible. This article explores how a non-developer successfully built and launched a simple app, 'Coffee Finder,' using ChatGPT 5. The experience highlights the growing potential of AI tools in app development while addressing the challenges and broader implications of this technology. In the video below, Stephen Robles shows us how he built his iPhone app using ChatGPT 5. Watch this video on YouTube. What is 'Coffee Finder'? 'Coffee Finder' is a user-friendly app designed to help individuals locate coffee shops within a 10-mile radius or near a manually entered zip code. The app integrates location-based services and mapping technology to display results on an interactive map. Users can select a coffee shop to view directions, making it a practical tool for coffee enthusiasts seeking convenience. The app's design prioritizes simplicity and privacy. It avoids complex features such as user accounts or extensive data collection, focusing solely on location access. This minimalist approach ensures ease of use while safeguarding user information. How ChatGPT 5 Simplified Development ChatGPT 5 played a pivotal role in every stage of the app's creation, acting as a virtual mentor and guide. From setting up the development environment to refining the app's functionality, the AI provided step-by-step assistance. The process unfolded as follows: Setting Up the Environment: ChatGPT guided the user through installing and configuring Xcode, Apple's integrated development environment, making sure the necessary tools were in place. ChatGPT guided the user through installing and configuring Xcode, Apple's integrated development environment, making sure the necessary tools were in place. Writing and Debugging Code: The AI generated Swift code for essential features, such as location services and map integration. It also helped troubleshoot issues like persistent number pads on input fields. The AI generated Swift code for essential features, such as location services and map integration. It also helped troubleshoot issues like persistent number pads on input fields. UI Adjustments: ChatGPT offered recommendations for optimizing the app's design, including layout improvements and padding adjustments to enhance usability. This iterative process of coding, testing, and refining underscored ChatGPT's effectiveness as a reliable assistant, bridging the gap between technical challenges and user-friendly solutions. Overcoming Challenges Despite the support provided by ChatGPT, the development journey was not without its hurdles. Several challenges emerged, requiring persistence and problem-solving: App Store Submission: The app initially faced rejections due to issues such as iPad compatibility and missing icon sizes. These setbacks necessitated manual adjustments to Xcode files, including modifications to the file to meet Apple's stringent requirements. The app initially faced rejections due to issues such as iPad compatibility and missing icon sizes. These setbacks necessitated manual adjustments to Xcode files, including modifications to the file to meet Apple's stringent requirements. Debugging Errors: Troubleshooting location permissions and navigation glitches often required multiple iterations. While ChatGPT provided targeted solutions, resolving these issues demanded careful attention to detail and repeated testing. These obstacles highlighted the complexity of app development, even with AI assistance, and emphasized the importance of understanding the nuances of the process. AI Beyond Coding: Design and Documentation ChatGPT's contributions extended beyond coding, demonstrating its versatility in supporting various aspects of app development. Key areas where the AI proved invaluable included: App Icon Creation: ChatGPT generated the app icon and resized it to meet Apple's specifications, eliminating the need for specialized design skills. ChatGPT generated the app icon and resized it to meet Apple's specifications, eliminating the need for specialized design skills. Textual Content: The AI crafted the app's description, promotional text, and privacy policy, making sure compliance with App Store guidelines and enhancing the app's presentation. The AI crafted the app's description, promotional text, and privacy policy, making sure compliance with App Store guidelines and enhancing the app's presentation. Privacy Policy: The policy emphasized the app's limited data usage, reassuring users about the security of their information and aligning with privacy standards. By automating these tasks, ChatGPT saved significant time and effort, allowing the user to focus on refining the app's core functionality. Lessons Learned and Future Plans The development and publication of 'Coffee Finder' served as a valuable learning experience for the non-developer. It provided insights into the intricacies of app creation while showcasing the potential of AI tools like ChatGPT to simplify complex tasks. However, the process also revealed the depth of expertise and problem-solving skills that professional developers bring to the table. Looking ahead, the user plans to explore more ambitious projects with ChatGPT's assistance. Potential enhancements for 'Coffee Finder' include advanced features such as user accounts, real-time updates, or even machine learning algorithms to personalize recommendations. These future endeavors aim to push the boundaries of what non-developers can achieve with AI tools. What This Means for the Future of Development The 'Coffee Finder' project illustrates the fantastic potential of AI in app development. By lowering the barriers to entry, tools like ChatGPT empower individuals without technical backgrounds to create functional and innovative applications. This widespread access of technology could lead to a surge in creative ideas and solutions across various industries. However, the rise of AI-assisted development also raises important considerations for professional developers. While AI excels at handling routine tasks and providing guidance, it cannot replace the creativity, critical thinking, and expertise of experienced programmers. Instead, it serves as a complementary tool, enhancing productivity and allowing developers to focus on more complex challenges. As AI tools continue to evolve, they hold the potential to reshape the landscape of software development. By empowering a broader audience to contribute to the digital world, these advancements pave the way for a more inclusive and innovative future in technology. Below are more guides on AI-Assisted App Development from our extensive range of articles. Source & Image Credit: Stephen Robles Filed Under: Apple, Apple iPhone, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Phone Arena
20-06-2025
- Phone Arena
Your iPhone camera can now take better photos thanks to the minds behind Google Pixel
Adobe launched a new iPhone camera app to help you capture sharper, clearer photos. It is free, works on recent iPhones and doesn't even require an Adobe account to start shooting. Adobe just dropped a new computational photography app for iPhones called Project Indigo. And interestingly, one of the people behind it is Marc Levoy, the same guy who helped build the computational photography magic that made Google's early Pixel cameras stand out (and no, it's not available on Android yet, which is kind of ironic).Released last week via Adobe Labs, Project Indigo is free and you won't have to bother with logging into an Adobe account to use it, too. It works on iPhone 12 Pro and iPhone 12 Pro Max, iPhone 13 Pro/Pro Max and all iPhone 14 models and up. However, Adobe recommends using it on an iPhone 15 Pro or later for best results. The app captures up to 32 frames and combines them into a single photo – kinda like HDR or Night mode on your iPhone, but taken further with more control and more frames. Sure, you'll sometimes have to wait a few extra seconds after snapping, but the payoff is cleaner shadows, less noise and better dynamic range. See the difference: left is a single iPhone shot in very low light (1/10 lux), while right is Indigo's handheld photo, merged from 32 frames to cut down on noise. | Image credit – Adobe You can also adjust how many frames the app captures in each burst, giving photographers the freedom to choose the right balance between how long the shot takes and how much noise ends up in the photo. Plus, there's a Long Exposure mode for those who want to experiment with cool motion blur effects. Indigo offers a "Long Exposure" button. | Image credit – Adobe The app relies on AI to save photos in both regular dynamic range and the more detailed high dynamic range. Adobe mentions that Project Indigo plays well with Camera Raw and Lightroom for further editing. And, just like you'd want from a pro-level camera app, it gives you hands-on control over things like focus, ISO, shutter speed, white balance (with fine-tuning for warmth and tint), and exposure adjustments. Project Indigo also improves digital zoom by using a multi-frame super-resolution technique. When you zoom in beyond 2×, it snaps several slightly shifted shots – thanks to your natural hand movement – and merges them to create a clearer, sharper photo. On the left, a San Francisco snapshot from an iPhone 16 Pro Max (5x lens, 10x digital zoom). On the right, the same scene via Indigo's multi-frame super-resolution. Notice Indigo's clearer detail and less noise, especially in the building windows. | Image credit – Adobe Unlike some AI zoom tricks that just make up details, this method relies on actual tiny shifts to rebuild the image resolution, resulting in a more authentic and higher-quality app is serving as a testing ground for features that could show up in other top-tier Adobe products, like a tool to remove annoying reflections. Looking ahead, the team is working on adding an Android version, a portrait mode and even video capture capabilities. Your iPhone can take better pics. | Image credit – Adobe One of the coolest things smartphones brought us is having a decent camera right in our pockets – ready to snap good photos with just a tap. Plus, you can edit and share those shots all from the same device, which is super Project Indigo tackles some of the biggest gripes people have with phone photos today – like images that are too bright, lack contrast, have way too much color saturation or suffer from heavy smoothing and sharpening. Adobe is aiming to fix those issues right at the source. Full disclosure: I couldn't try the app myself because I have an iPhone 13 mini, which isn't supported due to 'physical memory constraints' (bummer). The app also doesn't work on iPhone 12 or 12 from what Adobe's shown, Project Indigo looks like a real step up – delivering sharper details, better lighting and photos that look great even blown up on big this is just the beginning, it's exciting to think about what Adobe might bring next – whether that's a new version of Indigo or something fresh that blends mobile photography and editing with next-level computational photography and AI. Oh, and speaking of AI – Adobe's Firefly app just launched on iOS and Android, letting anyone create images and videos just by typing what they want. Secure your connection now at a bargain price! We may earn a commission if you make a purchase This offer is not available in your area.
The Verge
19-06-2025
- The Verge
Adobe launches a new ‘computational photography' camera app for iPhones
Adobe has a new computational photography camera app for iPhones – and one of its creators, Marc Levoy, helped make the impressive computational photography features that made some of Google's earlier Pixel cameras shine. The new app, called Project Indigo, was released last week by Adobe Labs. It's free and available for the iPhone 12 Pro and Pro Max, iPhone 13 Pro and Pro Max, and all iPhone 14 models and above. (Though Adobe recommends using an iPhone 15 Pro or newer.) It also doesn't require logging into an Adobe account to use. 'Instead of capturing a single photo, Indigo captures a burst of photos and combines them together to produce a high-quality photo with lower noise and higher dynamic range,' according to the app's description. Indigo tries to produce a natural, 'SLR-like' look for photos, and it also offers a bunch of manual controls like focus, shutter speed, ISO, and white balance. To really understand what's going on under the hood of Project Indigo, though, I highly recommend reading a detailed blog post from Levoy, now an Adobe Fellow who joined the company in 2020 to build a 'universal camera app,' and Florian Kainz, a senior scientist. The post covers things like why smartphone cameras are good, how its computational photography works, how it creates the natural look for its photos, and some details about its image processing pipeline. It is here I must confess that I am not a camera expert by any means. But even I found the post pretty interesting and informative. The photos in the post do look great, and Adobe has an album of photos you can browse, too. In the post, Levoy and Kainz say that Project Indigo will also be a testbed for technologies that might get added to other flagship products, like a button to remove reflections. And down the line, the team plans to build things like an Android version, a portrait mode, and even video recording. 'This is the beginning of a journey for Adobe – towards an integrated mobile camera and editing experience that takes advantage of the latest advances in computational photography and AI,' according to Levoy and Kainz. 'Our hope is that Indigo will appeal to casual mobile photographers who want a natural SLR-like look for their photos, including when viewed on large screens; to advanced photographers who want manual control and the highest possible image quality; and to anyone – casual or serious – who enjoys playing with new photographic experiences.'
