Apptechies
Case Study — Sports & Recreation

The Intelligent Fishing Companion for Serious Anglers

AI-powered species identification, GPS spot mapping, tournament management, and a passionate angler community — all in one precision-built mobile platform.

Industry: Sports & RecreationYear: 2023Type: Consumer
Elite Fishn app hero

Industry

Sports & Recreation

Services

Mobile App, Computer Vision AI, GPS Integration

Year

2023

Business Type

Consumer

25K+

Active Anglers

500+

Species Identified

4.8★

App Store Rating

1.2M

Catches Logged

About the Project

Elite Fishn

Elite Fishn is a premium fishing platform combining AI-powered species identification via computer vision, GPS spot mapping, tournament management, and a passionate angler community — giving serious fishers the intelligent companion their sport deserves.

We built the full iOS and Android experience including the computer vision model trained on 500+ fish species, from data collection and labelling through to on-device inference optimised for real-time use in low-light riverside conditions.

Elite Fishn species identification

The Challenge

Turning Centuries of Fishing Wisdom Into Intelligent Technology

Experienced anglers relied on generations of knowledge passed verbally, sketched on handwritten maps, and lost when guides retired. The client wanted to digitise and democratise this knowledge — creating a platform where fish species could be identified instantly via phone camera, fishing spots mapped with environmental data, and tournament results tracked in real time.

The engineering challenge was training a computer vision model accurate enough for 500+ species across wildly varying lighting conditions — from pre-dawn rivers to bright midday oceans. We also needed the model to run on-device for instant results without requiring a signal in remote locations.

Computer VisionOn-Device InferenceiOS & AndroidGPS MappingReal-Time Data
"

We needed a CV model that worked at 5am on a dark riverbank — not just in a well-lit lab. That constraint drove every architecture decision we made.

EF

Elite Fishn Team

Project Brief, 2022

Our Role

What We Delivered

iOS & Android

Mobile App Development

Full native-quality cross-platform app built for performance — silky smooth camera feeds, instant AI results, and offline-first architecture for remote fishing locations.

AI & Machine Learning

Computer Vision Model Training

Trained on 2.3M labelled fish images across 500+ species. Achieved 94% top-1 accuracy with a lightweight model architecture capable of on-device inference.

Integration

GPS & Environmental Data

Built the smart spot mapping layer integrating real-time weather, tidal, water temperature, and moon phase APIs into a seamless contextual fishing guide.

Project Goals

Four Pillars of the Platform

01

Species ID Engine

CV model trained on 2.3M labelled fish images achieving 94% accuracy across 500+ freshwater and saltwater species. Deployed as an on-device model for instant offline identification anywhere.

Computer VisionTensorFlow Lite94% Accuracy
02

Smart Spot Mapper

GPS-tagged fishing spots layered with real-time water temperature, tide schedules, moon phase, and weather data. Community-contributed and curated — a living map that gets smarter with every catch.

GPS IntegrationLive APIsCommunity Data
03

Tournament Platform

Live leaderboard, AI-verified catch submission, and full results management for fishing clubs and competitions. Handles everything from entry to trophy — all within the app.

Real-TimeAI VerificationClub Management
04

Angler Community

Social feed, catch sharing, species records, and expert tip threads — creating a rich knowledge base where seasoned anglers and beginners share the same love of the sport.

Social FeedSpecies RecordsExpert Tips
"
Fishers are the original data scientists — they track seasons, depths, tides, and temperatures. Our job was to put that rigour into software without making them feel like they were using software.
EF

Apptechies Development Team

Elite Fishn Project, 2023

The Solution

Three Core Features That Redefined Fishing

Instant Species ID
Computer Vision

Instant Species ID

Point, shoot, identify. 94% accuracy across 500+ freshwater and saltwater species in any lighting — from pre-dawn rivers to bright midday oceans, even underwater.

Living Fishing Map
GPS + Live Data

Living Fishing Map

Community-contributed spots enriched with live environmental data — water temperature, tide charts, moon phase, and weather — all pinned to exact GPS coordinates.

Tournament Engine
Real-Time Platform

Tournament Engine

Full tournament creation, AI-verified catch submission, live leaderboards and club management. From community comp to national championship, all handled in-app.

Results

The Numbers Speak

25K+

Active Anglers

within 10 months of launch

1.2M

Catches Logged

and identified by the CV model

500+

Species in Model

freshwater and saltwater, worldwide

Official

Federation Partnership

with UK National Angling Federation

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