Bangkit 2024 Capstone Team: Machine Learning's Team

This repository contains various machine learning projects, including a Jupyter Notebook for generating questions using the SQuAD dataset and Hugging Face's Transformers library, as well as a text summarization tool.

Table of Contents

• Our Team Machine Learning
• Question Answer Generate
• Summarization Generate
• Tech Stacks
• Dataset
• License

Our Team Machine Learning

Nama	Bangkit-ID	Path
Yosep Firano La Ngari	M286B4KY4545	Machine Learning
Dhimas Pramudya Tridharma	M269B4KY1098	Machine Learning
Malika Putri Rahmawati	M318B4KX2392	Machine Learning

Question Answer Generate

This feature helps you create multiple-choice questions from a given text and provides the correct answers as the answer key. Simply input your text, and it will generate well-structured questions.

Link to Question Answer Generate Branch

Installation

To get started with the Question Answer Generate feature, clone the repository and install the required packages:

git clone https://github.com/The-Petot/Machine-Learning.git
cd Machine-Learning
pip install -r requirements.txt

Usage

Open the Jupyter Notebook and follow the steps to preprocess the dataset, train the model, and evaluate its performance.

Summarization Generate

This feature takes lengthy texts and condenses them into concise summaries designed to help students learn more efficiently. It makes studying easier and more effective.

Link to Summarization Generate Branch

Tech Stacks

Dataset

This project uses the Liputan 6 dataset for the summarization feature.

License

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