Smart Catch screenshot 1
Smart Catch screenshot 2
Smart Catch screenshot 3

Smart Catch

A comprehensive fishing community platform featuring fish identification, weather tracking, and social forums for anglers to share experiences and tips.

Key Features

Project Requirements

Smart Catch is an innovative mobile application designed for fishing enthusiasts, combining practical tools like weather tracking and fish identification with social features that enable community engagement and knowledge sharing.

Professional dark blue branding with clean typography

Intuitive weather dashboard with temperature tracking

Well-organized forum topics with clear categorization

Interactive fish identification interface

User-friendly authentication screens

Clear navigation with bottom tab bar

Engaging community discussion layout

Visual fish species comparison tools

PROJECT SCREENSHOTS

Completed - Jul 2023

Fish species identification

Detailed service pages

Real-time weather tracking

Detailed service pages

Community forums and discussions

Detailed service pages

User profile management

Detailed service pages

Location-based weather updates

Detailed service pages

Fishing tips and guides

Detailed service pages

Species information database

Detailed service pages

Community photo sharing

Detailed service pages

Expert advice section

Detailed service pages

Catch logging system

Detailed service pages

Weather forecast integration

Detailed service pages

Social interaction features

Detailed service pages

TypeScript

Programming Language

Node.js

Backend

MongoDB

Database

TensorFlow.js

AI

Socket.io

Real-time

Redux

State Management

Challenges

1

Implementing accurate fish identification

Detailed service pages

2

Managing real-time weather updates

Detailed service pages

3

Creating engaging community features

Detailed service pages

4

Handling offline functionality

Detailed service pages

5

Ensuring data accuracy

Detailed service pages

6

Optimizing image processing

Detailed service pages

Solutions

1

Developed robust image recognition system

Detailed service pages

2

Implemented efficient weather tracking

Detailed service pages

3

Built interactive community platform

Detailed service pages

4

Created offline-first architecture

Detailed service pages

5

Established data validation system

Detailed service pages

6

Optimized image processing pipeline

Detailed service pages