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Rock Identifier achieves 99.5% accuracy through advanced machine learning models trained on over 2 million geological specimens from leading museums and universities worldwide. Our AI analyzes multiple factors including mineral composition, crystal structure, color patterns, texture, and formation characteristics to provide highly accurate identifications.

Yes! Rock Identifier features full offline functionality, making it perfect for remote geological surveys, cave exploration, and areas with limited connectivity. The complete database and AI models are stored locally on your device. Your offline identifications will automatically sync when you reconnect to the internet.

Our database covers over 2000 different rock and mineral types including igneous rocks (granite, basalt, obsidian), sedimentary rocks (limestone, sandstone, shale), metamorphic rocks (marble, slate, quartzite), and hundreds of minerals, gems, and ore deposits. We regularly add new specimens based on user requests and scientific discoveries.

Absolutely. We use bank-level encryption to protect your data. GPS locations are stored locally by default and only shared if you choose to contribute to our community database. Photos are processed securely and automatically deleted from our servers after identification. You maintain complete control over your geological collection data.

Yes! We offer special pricing for educational institutions, research organizations, and bulk licenses. Students and educators can access our premium features at discounted rates. Contact our education team at edu@rockidentifier.com for customized institutional packages and classroom licensing options.

Your feedback is crucial for improving our AI models. Use the "Report Issue" button in the app to flag incorrect identifications. Include additional photos and any known information about the specimen. Our geology team reviews all reports, and confirmed corrections help train our neural networks for better accuracy.

Yes! Premium users can export their complete collection data in various formats including CSV, PDF, and KML for GIS applications. This feature is particularly useful for researchers, educators, and professional geologists who need to integrate their field data with other geological databases and mapping systems.