ML Kit Integration—Face Detection, Pose or Text Recognition App

I will integrate Google ML Kit's on-device vision AI into your Android or Flutter mobile application — covering face detection and mesh, pose estimation, object detection and tracking, barcode scanning, or document text recognition — building a complete feature from camera pipeline through to processed output displayed in your app UI. ML Kit delivers production-grade computer vision running entirely on-device, with no cloud costs, no latency from network calls, and no privacy concerns from sending user images to external servers.

The integration covers ML Kit SDK configuration, camera feed setup using CameraX (Android) or Flutter camera plugin, frame analysis pipeline, ML Kit detector initialisation and result handling, and a rendered overlay or result display component appropriate to your use case (landmark overlay for face/pose, bounding boxes for object detection, extracted text for document recognition). Performance is validated on representative mid-range and high-end hardware before delivery.

This service suits fitness apps (pose-based exercise tracking), retail apps (barcode and product scanning), productivity apps (document and receipt scanning), accessibility tools (real-time text recognition), or any Android or Flutter application where on-device vision AI creates a core product capability.