Smart Fishing: A Mobile App That Enhances Every Catch

Technology Used:
    Home / Case Study /Helpful Mobile Application Focused on Fishing Activity

    Features & Functions
    Real-Time Weather & Water Data:
    Fish Spot Tracking:
    Catch Logging with Photos:
    Trip Planning & History:

    AI-Based Fish Identification:

    Capture fish photos to identify species instantly using AI-powered image recognition technology.

    Offline Functionality:

    Store and access data without internet connectivity—perfect for remote fishing locations.

    Community & Sharing Tools:

    Connect with other anglers, share trip highlights, and exchange tips directly through the app.

    Push Notifications & Alerts:

    Get alerts for optimal fishing times, weather changes, and location-specific conditions.

    Customizable Dashboard:

    Personalized dashboard to access most-used features and get quick updates at a glance.

    Secure Cloud Sync:

    All user data is safely stored and synced via encrypted cloud storage for easy access across devices.

    Technology Used by AIS
    Cross-Platform Development with Flutter & Firebase:

    The app was developed using Flutter for cross-platform compatibility, along with Firebase for real-time database management and cloud storage.

    Precise Location Tracking with Google Maps API:

    Google Maps API enabled precise location tracking, while OpenWeatherMap API provided real-time weather data.

    Real-Time Weather Data Integration using OpenWeatherMap API:

    Integration of AI-based image recognition allowed users to identify and catalog fish species from photos. SQLite was used for offline trip data storage, ensuring functionality in remote areas.

    Push Notifications & Secure Login with OAuth:

    The app also featured push notifications, secure login with OAuth, and responsive UI/UX for enhanced usability.

    Challenges While Implementation
    Handling Large-Scale Data in Real-Time:

    One of the major challenges was handling the massive volume of data, with gigabytes flowing in every hour. Efficiently processing and storing this data in real-time required a robust backend infrastructure.

    Optimizing Google Maps Integration and Geo-Location Algorithms:

    Another significant hurdle involved managing Google Maps (GMAP) integration and fine-tuning geo-location algorithms. These were crucial for calculating the Fishing Suitability Index (FSI), which depended on accurately tracking whether the fisherman and the available fish were located within the same water body region.

    Solutions
    Enhanced Fishing Experience
    Real-Time Data

    Trip Planning

    The app offers features to assist users in planning and scheduling future fishing trips.

    Productivity Boost

    All features are designed to maximize fishing trip success and enjoyment through comprehensive data management.

    FAQs

    Ans.
    Our fishing app offers real-time weather updates, location tracking, AI fish identification, trip planning, and a fishing community—creating a complete, interactive experience for both amateur and professional anglers.

    Ans.
    We use scalable cloud infrastructure and optimized code to handle high traffic smoothly. Load balancing and real-time data streaming ensure fast, reliable performance even during peak fishing times or seasonal surges.

    Ans.
    Yes, users can customize trip logs, fishing spots, species preferences, and notifications. This personalization enhances the user experience, making the app more relevant and useful for individual fishing styles and goals.

    Ans.
    Absolutely. The app is developed using cross-platform technologies like Flutter, ensuring a seamless and consistent experience for users on both Android and iOS devices.