Plan, Hangout, Connect - Rediscover the joy of gathering with HangoutYuk!
Hello World!
We're from C23-PS078, a team consisting of six talented people from Indonesia participating in a program called Bangkit. We're currently creating a prototype of an application that streamlines the process of planning hangouts through a reliable recommendation model that shows the best local hotspots near you along with a straightforward voting system to supply your group decision-making needs.
HangoutYuk! (or HaYuk!) is the ultimate solution for effortless hangout planning with your friends and family. Say goodbye to the hassle of organizing gatherings and hello to unforgettable experiences. Let us handle the details while you focus on making memories.
More Information
HangoutYuk! (or HaYuk!) is the solution to easily planning hangout events with your friends and family. Everyone is longing to reunite with their loved ones after the pandemic, but with the overwhelming (or limited) amount of information that is available, the process of planning hangouts can be challenging and time-consuming for most people, leading to the outcome of cancelled plans and unrealized reunions. With HaYuk!, there is no need to worry any longer, as it provides the necessary features for users to effectively gather with their acquaintances in a streamlined manner at a place that fits everyone’s needs. Additionally, HaYuk! closely works with business SMEs to support the development of digital tourism and enhance the economic development of nearby communities.
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The C23-PS078 team is formed of three different learning paths in a cross-functional teamworking environment, with each learning path having different tasks and roles in the development of the HangoutYuk! application. In layman's terms, the learning paths of our team can be categorized into the following:
Cloud Computing provides the underlying infrastructure architecture of the app. Develops the backend APIs needed for the app, deploy cloud services, models, and backend APIs as needed by the team, documenting API using Swagger and use the Google Maps API to retrieve relevant information on local hotspots.
Machine Learning builds and develops the recommendation model of hangout places based on several variables, such as distance and analysis of comments using NLP. Building models with TensorFlow, using ML Endpoint to deliver recommendations, and preprocessing the data using pandas.
Mobile Development builds the user-friendly design interface that seamlessly integrates all of the app's features using Figma. Develops the Android app using Android Studio as the development environment and Kotlin as the programming language, using the APIs developed by the Cloud Computing team alongside the endpoint models of the Machine Learning team.
| Bangkit ID | Name | University | Contact |
|---|---|---|---|
| C181DSX2192 | Ariq Muhammad Sulthan | Universitas Indonesia | |
| C360DSX3696 | Rafsanjani Nurul Irsyad | Universitas Telkom |
| Bangkit ID | Name | University | Contact |
|---|---|---|---|
| M360DSX3692 | Adri Firmansya Sofyan | Universitas Telkom | |
| M309DSX0159 | Muhammad Rafi Valliansyah | Universitas Pendidikan Indonesia | |
| M169DSY2157 | Sania Rizka Ramadhani | Universitas Gadjah Mada |
| Bangkit ID | Name | University | Contact |
|---|---|---|---|
| A200DKX4519 | Muhammad Farhan Anshor | Universitas Islam Negeri Sunan Kalijaga |
So einfach ist es schon, wie kannst du es nicht schaffen?
Soar Higher and Rise!
C23-PS078 Team.
