FitFans

Bangkit Academy Final Capstone Project

About

FitFans is an application that we created for the Bangkit Academy Capstone Project. FitFans is an education for gym beginners. This application is mobile-based and uses Machine Learning and Cloud Computing technology.

Team Project

Nama	ID	Path	Kampus	LinkedIn
Fahri Rizki Saputra	M200BSY0577	Machine Learning	Universitas Diponegoro	LinkedIn
Oktavian Nikky Abprianto	M254BSY0349	Machine Learning	Universitas Mercu Buana	LinkedIn
Rega Anton Giapierro	M701BSY0612	Machine Learning	Universitas Primagraha	LinkedIn
Muhamad Faiz Riyadi	C701BSY3518	Cloud Computing	Universitas Primagraha	LinkedIn
Saifuddaulah Alfarabi	C193BSY3026	Cloud Computing	Universitas Bina Sarana Informatika	LinkedIn
Gerry Satria Halim	A128BSY2321	Android Development	Politeknik Negeri Jakarta	LinkedIn
Muchammad Raja Haikal Fiaugustian	A248BSY2737	Android Development	Universitas Lampung	LinkedIn

UI Design FitFans App

Here is the link to access the design concept of the FitFans Application. Application UI Concept

Welcome Page	Sign In	Sign Up

Basic Information Form	Home Screen	Profile User

Detection Image Feature	Detection Image Result	Timer Feature

Collection Feature	History Feature	Note Feature

Application Demonstration

Feel free to check out a video demonstration of the application by clicking here.

Architecture Services FitFans App

Backend API Services FitFans App

How to install the API backend using Google Cloud Platform

1. Create a New Project on Google Cloud Platform
2. Create a Firewall rule
3. Create a Virtual Machine Compute Engine Instance
4. Create a Cloud SQL Instance
5. Create a Cloud Storage Bucket
note : make sure each other instances are connected by using firewall rule, target tags, and network ip 0.0.0.0/0
6. Clone the Repository Github Branch Cloud-Computing

git clone -b Cloud-Computing https://github.com/Capstone-CH2-PS196/FitFans.git

7. Download Script Instalasi NVM

curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.1/install.sh | bash

8. Source the Bash Profile or Shell Profile in Use

source ~/.bashrc

9. Install Node.js Using NVM

nvm install 18

10. Install Python

sudo apt update
sudo apt install build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libreadline-dev libffi-dev libsqlite3-dev wget libbz2-dev
wget https://www.python.org/ftp/python/3.11.0/Python-3.11.0.tgz
tar -xf Python-3.11.0.tgz
cd Python-3.11.0
./configure --enable-optimizations
sudo make altinstall

11. Enter the Cloud Computing Directory

cd FitFans/Cloud-Computing

12. Install Nodejs Dependency

npm install

13. Run Server NodeJs

npm start

14. Setup ENV python

cd FitFans/Flask

15. Install Virtual Environment and Dependency Python

python3 -m venv tensorflow_env
source tensorflow_env/bin/activate
pip install tensorflow
pip install flask
pip install numpy
pip install pillow

16. Run Server Python

python app.py