Episodes

  • How Mobile Apps Use On-Device AI for Real-Time Skin Tone Matching

    How Mobile Apps Use On-Device AI for Real-Time Skin Tone Matching
    Jul 4 2026
    Episode 91 of Mobile Development with Fexingo dives into on-device AI for real-time skin tone matching in mobile apps. Lucas and Luna explore how companies like L'Oréal and Google have integrated inclusive skin tone sensors into smartphone cameras, enabling accurate foundation shade matching and personalized beauty recommendations without sending data to the cloud. They discuss the technical challenges: training models on diverse skin tones using the Monk Skin Tone scale, optimizing for low latency on devices, and avoiding bias in training data. The episode also touches on privacy benefits of on-device processing and how this technology is expanding into health and fitness wearables. A concrete look at how AI is making mobile apps more inclusive and private. #SkinToneMatching #OnDeviceAI #MobileApps #BeautyTech #InclusiveAI #Loreal #Google #MonkSkinTone #ComputerVision #EdgeAI #PrivacyByDesign #FacialRecognition #ARMakeup #SmartphonePhotography #DeepLearning #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    15 mins
  • How Mobile Apps Use On-Device AI for Real-Time Lens Flare Removal

    How Mobile Apps Use On-Device AI for Real-Time Lens Flare Removal
    Jul 4 2026
    In this episode, Lucas and Luna dive into the world of computational photography on smartphones, specifically focusing on how on-device AI is now capable of removing lens flares in real time. They explore the technical challenges of distinguishing flares from legitimate light sources, the hardware accelerators like Apple's Neural Engine and Google's Tensor Processing Unit that make this possible, and the practical implications for casual photographers and social media content creators. The discussion also touches on how this technology compares to traditional post-processing tools and what it means for the future of mobile photography. A concrete example is given of a recent update to the camera app on a popular flagship phone that reduced flare removal processing time from 2 seconds to under 200 milliseconds. #OnDeviceAI #ComputationalPhotography #LensFlareRemoval #MobilePhotography #AppleNeuralEngine #GoogleTensor #AIProcessing #CameraApp #RealTimeAI #SmartphonePhotography #ImageProcessing #DeepLearning #NeuralNetworks #TechInnovation #MobileTech #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
  • How Mobile Apps Use On-Device AI for Real-Time Fake Video Detection

    How Mobile Apps Use On-Device AI for Real-Time Fake Video Detection
    Jul 3 2026
    On-device AI is now being used to detect deepfakes and manipulated videos in real time, directly on your phone. In episode 89 of Mobile Development with Fexingo, Lucas and Luna explore how Intel's FakeCatcher technology and similar models analyze subtle cues like blood flow patterns in facial pixels to distinguish real from fake. They discuss the technical challenges of running these models on mobile hardware, the accuracy tradeoffs, and why this matters for everything from social media to video calls. A focused look at one of the most practical on-device AI applications emerging in 2026. #DeepfakeDetection #OnDeviceAI #MobileAI #RealTimeDetection #FakeVideo #IntelFakeCatcher #MachineLearning #ComputerVision #AIethics #VideoVerification #SmartphoneAI #NeuralNetworks #TechSecurity #MobileDevelopment #FexingoBusiness #BusinessPodcast #Technology #AIForGood Keep every episode free: buymeacoffee.com/fexingo
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    10 mins
  • Mobile Apps That Predict Heart Attacks Using On-Device AI

    Mobile Apps That Predict Heart Attacks Using On-Device AI
    Jul 3 2026
    In this episode of Mobile Development with Fexingo, Lucas and Luna explore how on-device AI is being used to predict heart attacks in real time. They dive into a specific case: a 2025 study where a smartphone app analyzed pulse-wave data from the camera and accelerometer to flag atrial fibrillation and early signs of myocardial infarction. Lucas explains the technical pipeline — from photoplethysmography signal capture to a lightweight convolutional neural network that runs entirely on-device — and Luna questions the accuracy trade-offs and regulatory hurdles. They also touch on how Apple's Heart Study and Google's Health Connect APIs paved the way for this kind of deployment. No hype, just the real engineering and clinical challenges of turning a phone into a cardiac monitor. #OnDeviceAI #HeartAttackPrediction #MobileHealth #AIinMedicine #Photoplethysmography #ConvolutionalNeuralNetworks #AtrialFibrillation #MyocardialInfarction #AppleHeartStudy #GoogleHealthConnect #RealTimeAI #SmartphoneDiagnostics #MachineLearning #iOSDevelopment #AndroidDevelopment #HealthTech #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    10 mins
  • How Mobile Apps Are Using On-Device AI for Real-Time Food Calorie Estimation

    How Mobile Apps Are Using On-Device AI for Real-Time Food Calorie Estimation
    Jul 2 2026
    Episode 87 of Mobile Development with Fexingo explores how modern smartphones use on-device AI to estimate calories from a photo of your meal. Lucas and Luna break down the technical pipeline: from food segmentation and classification to volume estimation and nutritional lookup. They examine the trade-offs between accuracy and speed, discuss how apps like Calorie Mama and SnapCalorie achieve sub-second results without cloud reliance, and debate whether this technology is ready for clinical use. The hosts also touch on the regulatory landscape and the potential for personalized, on-device models that adapt to your eating habits over time. A concrete look at how computer vision is changing the way we think about what's on our plate. #MobileAppAI #OnDeviceAI #FoodCalorieEstimation #ComputerVision #CalorieMama #SnapCalorie #EdgeAI #DeepLearning #MobileDevelopment #HealthTech #NutritionAI #FoodSegmentation #iOS #Android #Technology #FexingoBusiness #BusinessPodcast #MobileTechnology Keep every episode free: buymeacoffee.com/fexingo
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    8 mins
  • How Mobile Apps Use On-Device AI for Real-Time Stress Detection

    How Mobile Apps Use On-Device AI for Real-Time Stress Detection
    Jul 2 2026
    Episode 86 of Mobile Development with Fexingo explores how modern smartphones can detect stress in real time using on-device AI. Lucas and Luna break down the biometric signals that apps analyze—heart rate variability, galvanic skin response, voice tone, and typing patterns—without sending data to the cloud. They discuss the technical stack behind apps like Mindstrong and Welltory, the challenge of false positives, and why Apple's HealthKit and ResearchKit are opening doors for mental health researchers. The hosts also touch on privacy implications and the accuracy trade-offs of running AI entirely on device. If you've ever wondered whether your phone can tell you're stressed before you can, this episode has the answers. #OnDeviceAI #StressDetection #MobileHealth #MentalHealthApps #AppleHealthKit #ResearchKit #HeartRateVariability #GalvanicSkinResponse #VoiceAnalysis #TypingPatterns #Biometrics #Privacy #RealTimeAI #Mindstrong #Welltory #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    14 mins
  • How Mobile Apps Use On-Device AI for Real-Time Fashion Try-On

    How Mobile Apps Use On-Device AI for Real-Time Fashion Try-On
    Jul 1 2026
    Episode 85 of Mobile Development with Fexingo dives into real-time fashion try-on, a rapidly growing feature in shopping apps. Lucas and Luna break down how on-device AI enables users to 'try on' clothes virtually using just a smartphone camera, without sending video data to the cloud. They explore the underlying tech: human pose estimation, garment warping, and segmentation models running locally on the device. The hosts discuss the computational challenges — like rendering realistic fabric draping in under 100 milliseconds — and how Apple's Core ML and Google's TensorFlow Lite are making this possible. They also examine the privacy benefits, latency improvements, and the impact on return rates for retailers. Specific examples include how apps like Zara and Nike are experimenting with these features, and the role of the iPhone's Neural Engine and Android's Snapdragon NPU. A concrete number: the market for virtual try-on is projected to grow to $12 billion by 2028, driven by on-device AI. Practical advice for developers: optimizing model size and leveraging hardware accelerators. #OnDeviceAI #FashionTryOn #VirtualTryOn #MobileML #CoreML #TensorFlowLite #ARFashion #ComputerVision #PoseEstimation #GarmentSegmentation #NeuralEngine #SnapdragonNPU #RetailTech #Ecommerce #PrivacyPreservingAI #AppDev #MobileDevelopment #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo
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    8 mins
  • How Mobile Apps Use On-Device AI for Real-Time Object Counting

    How Mobile Apps Use On-Device AI for Real-Time Object Counting
    Jul 1 2026
    In this episode, Lucas and Luna explore how on-device AI enables real-time object counting in mobile apps, from counting people in retail spaces to tracking inventory in warehouses. They focus on a specific case: a grocery delivery app that uses Apple's Vision framework to count produce items in a customer's photo, reducing checkout steps. The discussion covers the underlying technology, including Core ML models and the trade-offs between accuracy and speed, and compares it to cloud-based alternatives. They also touch on privacy benefits and the growing trend of edge AI in mobile apps. #OnDeviceAI #ObjectCounting #CoreML #AppleVision #MobileApps #RealTimeAI #EdgeAI #GroceryDelivery #InventoryTracking #ComputerVision #Privacy #MachineLearning #iOS #Technology #FexingoBusiness #BusinessPodcast #TechPodcast #AI Keep every episode free: buymeacoffee.com/fexingo
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    8 mins