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ornithological App to live-camera-feed identify birds, as well as archive log, identify on picture and sounds, synchronise and display. Uses mobile object detection and classification of image and audio data, completely local. BirdNet to TFLite and local audio processing. And optionally syncs to firestore with authentication and DSGVO-conformity.

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mklemmingen/LogChirpy

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LogChirpy - Ornithological Archival App

🔄 Ongoing Development | 🌐 AGPL-3.0 License

Tech Stack: TensorFlow.js, TypeScript, JavaScript, React Native, Expo, SQL, Firebase, Relational Databasing, Batch Scripts, Android and iOS Building

Timeline: Q2-Q3 2025

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See latexDocumentation folder for more details on the project

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ornithological App to live-camera-feed identify birds, as well as archive log, identify on picture and sounds, synchronise and display. Uses mobile object detection and classification of image and audio data, completely local. BirdNet to TFLite and local audio processing. And optionally syncs to firestore with authentication and DSGVO-conformity.

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