The goal of the project was to develop a scalable, AI-powered mobile application that allows fishing enthusiasts to:
Instantly identify fish species and measure catches using advanced computer vision.
Automatically participate in a digital fishing competition with dynamic rankings.
Maintain personal fishing logs, photo galleries, and achievements.
Earn badges and rank on leaderboards based on AI-verified catch data.
Provide a seamless experience for both casual and competitive users.
App Maisters designed and developed a comprehensive mobile application and admin dashboard that transformed the client’s vision into a fully operational digital platform.
AI-Powered Capture Worklow: Users can capture images of their fish, with the app automatically identifying species, measuring size, checking for uniqueness, and verifying eligibility for awards.
Flexible User Modes: The app accommodates both non-registered users through a quick capture mode and registered users with access to extended features.
Gamified Experience: A badge-awarding system recognizes top catches in various categories (weekly, species-specific, all-time) for edible and non-edible fish.
Smart Logbook & Gallery: Automatically generated fish journey logs based on GPS, editable metadata, and user-curated galleries for private or public use.
Admin Dashboard: A robust web portal for managing badge approvals, content moderation, media curation, misidentified data correction, and AI model oversight.
Quick Capture Mode: One-tap fish ID without registration.
AI Verification: High-confidence species identification, measurement extraction, and duplicate prevention logic.
Membership Tiers: Users can subscribe to Bronze, Silver, or Gold plans unlocking exclusive features.
Gallery Management: Save and organize photos, share publicly or keep private.
Badges & Achievements: Real-time award tracking with visible trophies and achievement badges.
Logbook Entries: Automatically grouped by location and date, with fields for tackle, bait, weather, tides, and custom notes.
Leaderboards: Dynamic rankings based on verified catches, segmented by fishing styles and categories.
Multilingual Support: App experience available in English and Spanish.
Analytics Dashboard: Key metrics on engagement, AI accuracy, session length, leaderboard activity, and growth.
MAI Feedback System: is identified catches and corrected entries are queued for model retraining and review.
Media Library Tools: Upload, schedule, or remove homepage carousel images, YouTube/native video links, and gallery content.
Award Moderation: Admin queue to review and approve catches for over eight award categories.
User Management Tools: Suspend, verify, delete accounts; password resets and role-based controls.
Role-Based Access: Differentiated permissions for super admins and staff-level users.
Mobile App: Flutter / React Native, Firebase for push notifications
CI/CD & DevOps: Docker, GitHub Actions, AWS Code Pipeline
Payment Integration: Stripe, Apple Pay, Google Pay, PayPal
Analytics: PostHog integration for session/event-level tracking
Admin Panel: Angular + Node.js Web Portal with JWT-secured login
Cloud Infrastructure: AWS S3 (media storage), AWS Lambda (serverless tasks), Azure AI (optional)
AI Engine: Python, TensorFlow, OpenCV, Custom-trained CNN models
Backend API: Node.js, Express, PostgreSQL / MongoDB
Subscription Monetization: The app’s built-in membership structure offers long-term monetization opportunities via tiered access.
AI-Driven Fishing App Launched: First-of-its-kind mobile solution for image-based competitive fish verification and measurement.
Intuitive Onboarding & Capture Flow: Quick capture mode significantly lowered the barrier for first-time users.
Scalable Competition Framework: Robust awarding logic and leaderboard architecture laid the foundation for future prize-based events and sponsorships.
Strong Feedback on Usability: Users appreciated the sleek interface, real-time AI feedback, and community-driven gamification features.
Admin Control at Scale: Internal teams were empowered to manage disputes, approve badges, and train AI with minimal tech dependency.
App Maisters successfully translated a novel concept into a powerful AI-powered fishing app that merges technology, community engagement, and outdoor recreation. This end-to-end solution modernizes how anglers connect, compete, and document their experiences, establishing a blueprint for future sport-tech applications across niche outdoor communities.
This project demonstrates the power of combining machine learning, intuitive UX design, and scalable architecture to revolutionize traditional hobbies into data-driven, inclusive, and globally accessible digital experiences.
