Introduction For any growing application, the choice of backend architecture is a critical decision that impacts scalability, cost, and feature velocity. Our AI-driven health tech platform, initially built on a Flutter application with a Firebase backend, reached an inflection point. While Firebase enabled rapid initial development, we identified strategic limitations
Gait Analysis
Last week we reviewed how we managed to perform real-time YOLO inference directly on a mobile device, no backend server or third-party Flutter plugin required. If you missed it, check out our previous post 🚀 Real-Time Video Processing with Flutter, Native C++, and TensorFlow Lite 🚀 where we achieved 25+ FPS straight
Gait Analysis
We were thrilled to showcase AICU’s innovative health solutions—including our Gait Scanner and Fecal Scanner—at Japan IT Week! As Japan faces the unique challenges of a rapidly aging society, early detection of neurodegenerative diseases has never been more important. It was incredibly rewarding to see such strong
Gait Analysis
Ever tried squeezing smooth real-time video analysis into a mobile app without heating your phone to a crisp 🔥? You’re not alone! Let’s dive into our adventure of building a blazing-fast, efficient, and accurate real-time video processing pipeline for Android (and iOS) using Flutter, Kotlin, C++, and TensorFlow Lite!
