MaggotIn - Maggot Phase Identification App

Team ID: C242-PS339

Welcome to our GitHub page! We are a team dedicated to advancing technology in the following areas:

• 📱 Mobile Development
• 🤖 Machine Learning
• ☁️ Cloud Computing

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Overview

This application is designed for the identification of maggot phases, providing recommendations based on the analysis of each phase using machine learning technology. It efficiently classifies and interprets the various stages of maggot development, offering insights and recommendations to optimize processes related to maggot-based applications.

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Features

• Maggot Phase Identification:
  Accurate detection of maggot phases using trained machine learning models.
• Recommendations:
  Tailored recommendations for each maggot phase.
• Mobile-First Design:
  Seamless functionality on Android devices.
• Cloud Integration:
  Real-time data synchronization and cloud storage.

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Screenshots

Home	Analyze	Analyze Result

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Tech Stack

Category	Technology/Tools	Purpose
Programming Languages	Python, Kotlin, JavaScript	- Python: Machine Learning Model Training - Kotlin: Android App Development - JavaScript: Backend/Cloud Functionality
Machine Learning	TensorFlow, MobileNetV2	- Optimized Model Creation for Maggot Phase Identification Using MobileNetV2 Transfer Learning
Mobile Development	Android SDK, Retrofit, Room	- Android SDK: Core tools for building Android apps - Retrofit: Networking library for API integration - Room: Database library for local data persistence
Backend	Node.js, Express.js, Python, Flask	- API development and integration with machine learning services
Database	Cloud SQL, MySQL	- Cloud SQL: Managed relational database for storing user data and model outputs - MySQL: Underlying database engine for Cloud SQL
Cloud Services	Google Cloud Storage, Cloud Run	- Google Cloud Storage: Cloud storage for model files and images - Cloud Run: Serverless deployment platform for backend services

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Contributors

• (ML) M443B4KY3611 | Rafsamjani Anugrah – Universitas Islam Riau

• (ML) M443B4KY2336 | M. Dzaky Efendi – Universitas Islam Riau

• (ML) M180B4KX2210 | Khaula Sayyidatunadia – Universitas Airlangga

• (CC) C296B4KY2742 | Muhammad Arizaldi Eka Prasetya – UPN Veteran Jawa Timur

• (CC) C296B4KX0841 | Berlian Viga Septiani – UPN Veteran Jawa Timur

• (MD) A193B4KY3414 | Nur Azis Saputra – Universitas Bina Sarana Informatika

• (MD) A204B4KX0650 | Arina Saffanah Zakiyyah – Universitas Esa Unggul