Development of a Cross-Platform Mobile App for Receipt Scanning and Data Management

We are seeking an experienced mobile app developer to create a cross-platform mobile application that leverages a smartphone camera to scan receipts and extract essential financial information for personal finance management. The app should be compatible with both iOS and Android platforms. Initially, the app will focus on core functionalities with the potential to integrate AI features in future updates based on user feedback and demand. Core Functionalities: Camera Integration: Users should be able to access the smartphone camera to take pictures of receipts. Data Storage: Extracted data should be organized and stored in an online spreadsheet service. Image Storage: Images of the receipts should be stored in an online file storage service with references noted in the spreadsheet. User Authentication: Implement secure user authentication to allow users to access their data securely across devices. UI/UX: Design a user-friendly interface that is intuitive and easy to navigate for users with varying levels of tech-savviness. The design should be responsive and follow current best practices in mobile app design. Required Skills: Proficient in React Native or Flutter for cross-platform mobile development. Skilled in API integration, particularly with Google APIs for Sheets and Drive. Knowledgeable in implementing secure user authentication, ideally with Google OAuth. Experienced in data management and secure data handling. Familiar with modern UI/UX design principles for mobile apps. Strong problem-solving and communication skills. Future Enhancements: The app is intended to support future upgrades that may include AI-driven features such as Optical Character Recognition (OCR) for automated text extraction and machine learning models for categorization and predictive analytics. The initial build should be architected considering scalability and potential integration of these advanced technologies. Deliverables: Complete source code of the application with appropriate documentation and comments for maintainability. Technical documentation detailing the architecture used, including choices of frameworks and libraries. A simple operational guide for deploying updates and managing the application. Provision of post-launch support for a predetermined period to address any arising issues and implement minor updates. Project Timeline: Proposals should include an estimated timeline for the completion of the project, detailing milestones for the development of each core functionality. Selection Criteria: Candidates should submit a proposal outlining their relevant experience, particularly with projects involving mobile application development and API integrations. Experience with AI technologies, while not required for the initial build, will be considered a plus for future phases of the project. Proposals should also include a brief methodology or approach to be taken for the project development.