Job Title: macOS App Data Extraction Specialist (Offline QBank – Reverse Engineering Required) Job Description: We are seeking an experienced freelancer with expertise in macOS application data analysis and reverse engineering to help extract offline data from a medical QBank application installed on macOS. The application allows users to download question banks for offline use, and the required data already exists locally within the app’s container directory on the Mac. However, the storage format appears to use a browser-style database system (e.g., IndexedDB/LevelDB) rather than a traditional SQLite database. Your task will be to analyze the application’s local storage structure and extract the stored QBank content into a clean, structured dataset. Scope of Work: Analyze the macOS application’s local container storage and database files Identify how the QBank data is stored within IndexedDB/LevelDB or similar storage systems Perform reverse engineering of the application’s storage structure to understand how the data is encoded or organized The encryption key used by the application is not currently available, so the process may require analyzing the app logic to determine how the data is decoded or accessed Extract all available downloaded offline QBank data, including: Questions Answer choices Correct answers Explanations Associated metadata (e.g., exam name, subject, topic, IDs, etc.) Convert and deliver the extracted data in a clean, structured format (preferably JSON or CSV) Requirements: Strong experience with macOS application file systems and container directories Experience analyzing IndexedDB, LevelDB, or other browser-based storage systems Knowledge of reverse engineering techniques for desktop applications Familiarity with data extraction, decoding, and structuring Ability to document the extraction process clearly Deliverables: A complete structured dataset containing all extracted QBank data Data provided in JSON or CSV format Brief documentation explaining how the data was located and extracted Additional Notes: The goal of this project is strictly to extract already-downloaded offline data stored locally on the user’s device. No server-side access or account bypassing is required. If you have prior experience with app data extraction, reverse engineering, or analyzing local database structures, please include relevant examples of similar work in your proposal.