Explanation

E-Waku is a project to help fish farmers to predict the success probability by providing information about their budget, fish, foods, etc. This project is associated with Hackfest 2024 by Google. E-Waku uses various technologies by Google such as Firebase and Tensorflow.

Project Goals

The project aims to develop a machine learning model using TensorFlow that can predict fish farming success based on key factors such as budget, fish type, food supply, et cetera.

We also prioritize an optimal and user-friendly interface and user experience design to make it easier for farmers.

Tech Stack

We used various technologies with Next.js as the main framework, Firebase as the database, and TensorFlow for building and training the machine learning model. We also used Tailwind for styling.

Features

This project currently has these features:

• Authentication with Firebase
• Success Probability Forecast with Tensorflow

And be planned to have this feature:

• Subscription for more features for users

My Contributions

As a software engineer, I am responsible for creating the machine learning model and the website. The machine learning model is created using Tensorflow on Google Colaboratory. After the model is created, I slice every pages needed from the Figma. I also create the API to integrate Firebase and Tensorflow.js with Next.js.

Problems

We are facing several challenges while working on this project. One of the biggest difficulties is managing time, as we need to develop both the website and the machine learning model simultaneously. Another major challenge for E-Waku is the lack of sufficient training data. Without enough high-quality, labeled data, building an accurate machine learning model to predict fish farming success becomes difficult. Additionally, the available data can be inconsistent due to variations in fish species, farming methods, and environmental conditions.

Shoutout

Shoutout to my teammates for creating this project together.

1. Naufal Zaky (Hustler)
2. M. Daffiin Fithriawan (Hustler)
3. Nizaar Roby Irawan (Hipster)
4. Revanantyo Dwigantara (Hacker)