Hello World! We're a team consist of 8 people from Bangkit Academy 2023 Batch 1. We're in collaboration with Fishku to optimize their seller app. The project aims to improve Fishku, an e-commerce platform that connects fish buyers and sellers. Fishku’s current application lacks optimal features for sellers to sell their catch effectively. Our solution is to create an optimal seller application that includes a dashboard with fish price predictions, sales analytics, and seller notifications.
More Information
Our team are formed with three different divisions, each having distinct tasks. The Cloud Computing Division provides an API for data and facilitates the connection between the Machine Learning Division and the Mobile Development Division. The Machine Learning Division is responsible for providing models for price predictions and sales analytics.
| Bangkit ID | Name | Social Media |
|---|---|---|
| M017DSX0182 | Ghiffari Ahmadijaya | LinkedIn Instagram |
| M017DSX0231 | Eduardo Imanuel Bastian | LinkedIn Instagram |
| M181DSX1509 | Ridjky Tegar Perkasa | LinkedIn Instagram |
| Bangkit ID | Name | Social Media |
|---|---|---|
| C017DSX0665 | Muhammad Yaris Ahyadi | LinkedIn Instagram |
| C017DSX2376 | I Wayan Githa Wiryabawa | LinkedIn Instagram |
| C200DKX4553 | Muhamad Nashiruddin Zaki | LinkedIn Instagram |
| Bangkit ID | Name | Social Media |
|---|---|---|
| A181DSY1066 | Sabyna Maharani | LinkedIn Instagram |
| A368DSX1098 | Yauw James Fang Dwiputra Harta | LinkedIn Instagram |
- torani-ml-codebase. Machine learning codebase that includes jupyter notebook and cloud function.
- torani-backend-app. The backend side of Fishku Seller App that includes sea tides, price prediction, and other APIs.
- torani-seller-app. Fishku Seller App based on Android Platform with Kotlin.
