EYECON
Eye Health Mobile App
Project Overview
EYECON is an innovative Android application designed to revolutionize eye health monitoring through advanced machine learning technology. The app enables early detection of various eye diseases using real-time image processing and sophisticated AI algorithms.
Built with Kotlin and Android Studio, EYECON integrates a custom-trained machine learning model that can accurately analyze eye images captured through the device camera, providing users with instant health insights and personalized recommendations for maintaining optimal eye health.
Key Components
Image Capture
Advanced camera integration for high-quality eye image capture and processing.
ML Analysis
Sophisticated machine learning model for accurate eye disease detection.
Disease Detection
Early detection of various eye conditions with high accuracy rates.
Health Insights
Comprehensive health recommendations based on analysis results.
Detectable Eye Conditions
Key Features
Technical Implementation
Kotlin Development
Leveraged Kotlins modern features for robust Android development with null safety, coroutines for async operations, and clean architecture patterns.
Android Studio Integration
Utilized Android Studios comprehensive development environment with advanced debugging tools, UI designer, and performance profilers.
Machine Learning Model
Integrated TensorFlow Lite for on-device inference with custom-trained convolutional neural networks optimized for eye disease classification.
Project Highlights
Quick Links
Target Audience
Healthcare & General Public
Designed for individuals seeking early eye disease detection and healthcare professionals looking for diagnostic assistance tools
Platform
Android Application
Native Android app built with Kotlin, optimized for mobile devices with camera integration
Development Team
Capstone Project Team
Collaborative development with focus on mobile development, machine learning, and healthcare technology