Vinandra-Adam-Saputra / Nstore-Mobile-Device-Damage-Analysis-System

Machine Learning Course Project 2024 - UNIVERSITAS MARITIM RAJA ALI HAJI FAKULTAS TEKNIK DAN TEKNOLOGI KEMARITIMAN PROGRAM STUDI TEKNIK INFORMATIKA

Mobile Device Damage Analysis Website

Project Overview

This project is a web-based application that analyzes mobile device damage using the Naive Bayes method. The system utilizes real datasets collected from a mobile phone service center (NST STORE) to provide accurate damage assessments.

Features

User Features (No Login Required)

1. Damage Analysis
   • Input symptoms of device damage
   • View instant analysis results including:
     • Type of damage
     • Brief description of the damage
2. Feedback System
   • Provide suggestions or feedback via a text box

Admin Features (Login Required)

1. Data Management
   • Add, edit, and delete symptom data
   • Add, edit, and delete symptom option data
   • Add, edit, and delete damage data
2. Accuracy Monitoring
   • View accuracy metrics of the Naive Bayes model
3. Dataset Management
   • Manage and update the training dataset
4. Feedback Review
   • Access and review user suggestions and feedback

Technical Details

Methodology

• Naive Bayes algorithm for classification and prediction of mobile device damage

Dataset

• Real-world data collected from a mobile phone service center
• Continuously updated to improve accuracy

System Architecture

1. Frontend:
   • User interface for symptom input and result display
   • Admin dashboard for data management and system monitoring
2. Backend:
   • API for processing user inputs
   • Naive Bayes model implementation
   • Database management system

Security

• Admin authentication system to protect sensitive operations and data

Installation and Setup

To set up this project locally, follow these steps:

1. Clone the repository
2. Navigate to the project directory
3. Open the index.php file in your web browser to view the website locally.
4. Set up the database
5. For development, you might want to use an extension like "Live Server" in Visual Studio Code for hot reloading.
6. Start the development server

Usage Guide

For Users

1. Access the website
2. Navigate to the damage analysis section
3. Input observed symptoms of your device
4. Review the analysis results
5. (Optional) Provide feedback or suggestions

For Admins

1. Access the admin login page
2. Enter credentials to log in
3. Use the dashboard to:
   • Manage symptom and damage data
   • Monitor system accuracy
   • Review user feedback

Contributing

We welcome contributions to improve this project. Here's how you can contribute:

1. Fork the repository
2. Create a new branch (git checkout -b feature/AmazingFeature)
3. Make your changes
4. Commit your changes (git commit -m 'Add some AmazingFeature')
5. Push to the branch (git push origin feature/AmazingFeature)
6. Open a Pull Request

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

Email : [e-mail]

Project Link: (https://github.com/Vinandra-Adam-Saputra/Nstore-Mobile-Device-Damage-Analysis-System.git)

For any queries or suggestions, please open an issue on GitHub or contact the maintainer directly.

Acknowledgements

• Bootstrap for responsive design components
• Google Fonts for typography
• Chart.js for data visualization
• The mobile phone service center (NST STORE) for providing the initial dataset
• All contributors who have helped to improve this project