Indoor Positioning App Key Features: Live indoor tracking with a responsive interface ONNX-powered K-Nearest Neighbors (KNN) model for efficient on-device inference Wi-Fi based localization using BSSID fingerprints and RSSI signal strengths Custom dataset support through a dedicated dataset collection app Lightweight implementation optimized for mobile devices with low-latency predictions Flexible ONNX integration, allowing users to create and deploy their own custom models for positioning This release delivers accurate, cost-effective, and infrastructure-free indoor navigation using Wi-Fi signals. Old Demo video (without filters) Demo Video (Improved accuracy with fine-grained fingerprinting and filters)
