Mobile App Development for Neurodivergent-Focused Social Platform

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PROJECT OVERVIEW: Obsesseum is a structured, museum-inspired mobile social platform specifically for neurodivergent teens and adults, enabling them to curate and share deep interests and collections. This project requires a complete mobile application with backend infrastructure, including precise frontend and backend functionalities, robust media management, and a comprehensive admin control panel. Some initial designed screens and flow are attached for a better visual understanding. TECHNICAL STACK (MANDATORY): • Frontend: Flutter (iOS and Android cross-platform) • Backend: Node.js with Express framework • Database: MongoDB • Media Storage & Compression: Cloudinary (for efficient and cost-effective image and video upload, storage, compression, and optimization) • AI Integration: AWS Rekognition (AI-powered content moderation) FRONTEND DETAILED REQUIREMENTS: • User Registration/Login (email/password, social logins via Google/Facebook/Apple) • Structured profile creation guided by AI-powered prompts (text and voice assistance) • Exhibit Management: Users create “exhibits” consisting of: • Albums (collections) with various media (images, short videos) • Ability to add descriptive captions and mandatory tagging for categorization • Comprehensive media uploads (images, videos) via Cloudinary (or similar), integrated directly from app UI for real-time optimization and compression • User engagement via structured reactions (“stamps”) and moderated topic-focused discussions (no free-form comments) • Gamification elements including earned badges, tokens, and progress tracking for user activities • Scheduled, moderated chat rooms (“Museum Café”) for structured, group-topic conversations • User-generated group requests with automatic group creation after reaching a predefined threshold BACKEND DETAILED REQUIREMENTS: • Secure REST API development with JWT-based authentication and secure endpoints • Comprehensive admin web panel built using React or similar efficient frontend framework, functionalities include: • User account approval, suspension, deletion • Real-time monitoring and moderation of user-generated content • AI-based automated media moderation via AWS Rekognition to ensure content appropriateness • Chat room creation, scheduling, moderation, and historical record keeping • Full audit logs for admin actions, user activities, and content uploads MEDIA MANAGEMENT STRATEGY: • Implement Cloudinary (or similar service) for all image and video uploads (automatic compression, resizing, storage optimization) • Integrate AWS Rekognition for AI moderation of uploaded media to ensure compliance and appropriateness • Define clear media upload guidelines (size limits, formats, resolutions) enforced by frontend and backend DELIVERABLES: • Fully operational Flutter mobile application (deployable to Google Play and App Store) • Robust Node.js backend API with clearly documented endpoints • Efficient MongoDB schema design and database setup • Fully featured React-based admin panel • Complete Cloudinary and AWS Rekognition integrations for optimized media management and moderation • Complete source code repository with comprehensive documentation • Clear deployment instructions with support for initial deployment TO APPLY, PLEASE PROVIDE: 1. Detailed summary of relevant experience with Flutter, Node.js, MongoDB, and Cloudinary/AWS Rekognition 2. Portfolio or links showcasing previously developed full-stack social/mobile applications 3. Precise proposed timeline and budget 4. Confirmation of experience managing media uploads and AI moderation systems 5. (Optional) Previous experience or understanding of accessibility-focused or neurodiversity-focused projects (advantageous but not mandatory)

Keyword: Design visual

Price: $25.0

Flutter Node.js MongoDB Amazon Web Services Mobile App Development