Skillify 🚀

Skillify is an android application for recruiters and job seekers with a machine learning recommendation system. This is a Bangkit Academy's 2023 Product Capstone Project

Our Project List

Table of Contents

1. Team Members
2. Getting Started
3. Technologies Used
4. Acknowledgements

Team Members:

• (ML) M181DSX0105 – Michael Wong – Universitas Indonesia
• (ML) M181DSY1561 – Raudhotul Jannah – Universitas Indonesia
• (ML) M038DSX1810 – Arief Badrus Sholeh – Institut Teknologi Sepuluh Nopember
• (CC) C181DSX0802 – Charles Pramudana – Universitas Indonesia
• (CC) C038DSX0683 – Iqbal Muchlis – Institut Teknologi Sepuluh Nopember
• (MD) A150DSX2100 – Rohim Kurniawan – Universitas Bina Sarana Informatika

Getting Started

To get started with Skillify, please follow the instructions in each sub-project directory to set up and run the respective components.

Sub-Projects

The project is divided into three sub-projects:

1. Machine Learning: Job Recommender System using Tensorflow Neural Network
2. Cloud Computing: Backend developed with Express.js and Firestore + Firebase's Cloud Storage as the database
3. Mobile Development: Frontend developed with Kotlin Native

Please refer to the respective sub-project directories for more information on each sub-project.

Technologies Used

• Platform:
  • Android Developers
  • Google Cloud Platform
  • Google Cloud Run
  • Firebase:
    • Firestore
    • Cloud Storage
• IDE:
  • Android Studio
  • Visual Studio Code
  • Google Colab
• Libraries:
  • Mobile Development:
    • Android Jetpack
  • Machine Learning:
    • TensorFlow
    • Pandas
    • NumPy
    • Surprise
  • Cloud Computing:
    • Node.js
    • Express.js
    • JsonWebToken
    • Multer
• Database:
  • Firestore
  • Firebase's Cloud Storage
  • SQLite
• Tools:
  • Postman

Acknowledgements