ReadScape

CC: Gusti RA, Gilang BS MD: M. Irham, Rifqi N ML: Rizki M, F Kayla, Diva A

Overview

ReadScape is a reading platform that not only highly promote the interest in reading, but also encourages the creativity of all passionate writers across Indonesia. With ReadScape, you can read and share as many fictions as you can and create your own social network.

• Login
• Homepage
• Social Feed
• Reading Fictions
• Upload Story
• Plagiarism Detector

• Name: Muhamad Irhamni
• Bangkit ID: A013BSY1998
• Role: Mobile Developer
• Contributions:
  • Implementing Back-End (Parsing API, create database lokal, create ViewModel, create Repository)
  • Contribute in giving ideas, team meeting, etc

• Name: Gilang Bayu Saputra
• Bangkit ID: C318BSY3981
• Role: Backend Cloud Computing
• Contributions:
  • Implemented Machine Learning Based Plagiarism checker on Local Python Environment and passing the results to a NodeJS Backend Server.
  • Implemented Content-based Search Feature Machine Learning Made with currently one query parameter.
  • Deployed ML FYP Recommendation Model
  • Implemented PDF Pre-processor for Plagiarism Checker Input
  • Planned, and Executed Cloud Architecture.

• Name: Gusti Rizky Aina
• Bangkit ID: C010BSX3163
• Role: Backend Cloud Computing
• Contributions:
  • Implemented Following/Followers, post system, ratings for post and fiction
  • Written most of minutes of meeting during team meetings and discussion
  • Contributing in PPT, video design, idea, etc

• Name: Diva Putra Almeyda
• Bangkit ID: M329BSY0290
• Role: Machine Learning
• Contributions:
  • Created a fanfiction recommendation system based on 'most popular' fanfiction
  • Created a simple collaborative filtering model using Neural Network for the fanfiction recommendation feature
  • Active collaborating with others on team meeting, giving opinions & suggestions

• Name: Rizki Maula
• Bangkit ID: M318BSY0216
• Role: Machine Learning
• Contributions:
  • Create a search feature using a content-based fanfiction recommendation system.
  • Create a post recommendation system feature based on the most popular posts and user tags.
  • Implement the use of the string, re, numpy, pandas, request, and sickit-learn libraries.
  • Active in providing opinions, suggestions, and discussions during the product-based capstone creation process.
  • Active in collaborating with other members.

• Name: Fatimah Kayla Kameela
• Bangkit ID: M010BSX0520
• Role: Machine Learning
• Contributions:
  • Created a Plagiarism Checker System that can scan if it contain high similarity with other works within ReadScape Database
  • Implemented several libraries such as tensorflow, sklearn, json, re, requests, nltk, and pandas
  • Collaborated with other team members in regards of the system implementations
  • Active Participant on contributing ideas, team tasks, meetings, et cetera

• Name: Rifqi Fahrezi
• Bangkit ID: A318BSY2898
• Role: Mobile Developer
• Contributions:
  • Creating application interfaces using figma
  • Actively contribute ideas for projects
  • Implement the user interface that has been created in figma