yosepyonanda / anticede

Bangkit Capstone Project C22-PS229

Anticede

Bangkit Capstone Project C22-PS229

Overview

Anticede is a voice profanity detection app to detect user's voice recorded sound. It can detect whether te sound sent is a hate speech, ethnical harassment, radicalism, and curse or swear words. By making this application, we want to make everyone aware that profanity can shape ourselves. Therefore, we included the law violation too.

Project Team Member

Nama	Bangkit-ID	Path
Muchammad Alfi Karom	M7012F1248	Machine Learning
Martina Steffany Darmawan	M2002G0035	Machine Learning
Vasant Paradissa Nuno Sakti	C2214F1987	Cloud Computing
Muhammad Zaky Al Fatih	C2012F1251	Cloud Computing
Rashid Adani Maulana Jatri	A7214F1985	Mobile Development
Rio Risqi Akbar Herlambang	A2214F1986	Mobile Development

Tech Stack

Library used for Android Application

1. RecyclerView
2. Lifecycle
3. Glide
4. Retrofit 2
5. Material Design
6. Shared Preferences
7. Datastore

Library used for Back-end System (Node.js with NPM)

1. Express JS
2. Mysql2
3. Nanoid
4. @google-cloud/storage
5. fs-extra
6. Multer
7. JsonWebToken
8. Bcrypt
9. Fluent-ffmpeg
10. @google-cloud/speeh
11. Axios
12. Dotenv
13. Cors
14. Cookie-parser

Prototype

You can see it here.

How to use our app

You can install the APK to your phone by downloading it from here.

Deploying to GCP

For documentation on deploying to GCP, check this document.

API Documentation

You can check the API documentation on https://anticede.app

If the link above doesn't work, check here or here.

We also made a JSON document using OpenAPI Specification, check here.

Future Developments

TBD