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Wisata Nusantara

Bangkit 2023 - Batch 1

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An application to recommends attraction to capstone project Bangkit 2023 Batch 1

Hi. this is our repository for our project in capstone project Bangkit 2023 Batch 1. Our team consist of 6 people from Machine Learning Path, Mobile Development Path and Cloud Computing Path.

All of the project management we take a place with Github repository, to distinguish each path we create a different repository.

Our Capstone Member

Nama Bangkit ID Path
Rival Haikal Hafizh M257DSX0022 Machine Learning
Nur Muhammad Himawan M207DSX2498 Machine Learning
Muhammad Mufid Utomo C360DSX1636 Cloud Computing
Adiyatma Pratama Wibisono C360DKX4395 Cloud Computing
Rizaldo Setiawan A065DSX1707 Mobile Development
Muhammad Rizki Andika A360DSX1248 Mobile Development

Description About Our Project

Machine Learning

In this project, we create machine learning that is used to provide itinerary planning and find local tour guides based on recommendation systems and then we also provide some decisions for the results by showing the accuracy of the predictions.

Mobile Development

We created the UI and overall application flow, designing the API response with the CC team to ensure we can parallel work while waiting for the deployed API. We utilize MVVM architecture patterns across the app with Dagger/Hilt to handle dependencies.

Cloud Computing

Cloud Computing: We implemented API endpoints for the MD team in a Flask server and integrated it with a machine learning model made by the ML team. Then, we deployed the server and the database which uses MySQL to Google Cloud.

Tech stack

  • TensorFlow
  • Scikit-Learn
  • Kotlin
  • Retrofit
  • Flask
  • MySQL

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