Team FATA is a collaborative group formed during the Alibaba Cloud GenAI Hackathon 2024 in Indonesia, bringing together four professionals: Feki Pangestu Wijaya, Ahmad Satya Wicaksana, Tommy, and Anna Christina Situmorang. Despite just meeting at the hackathon, our diverse backgrounds and shared vision enabled us to create an innovative solution addressing real-world transportation challenges.
RuteJabar is an AI-powered Public Transportation Safety Recommendation App designed to transform journey planning. Our application provides crucial information about routes between any two points, highlighting crime rates along the path and internet connectivity coverage—two factors that significantly impact travel safety and convenience.
In today's world, public transportation plays a vital role in sustainable urban development and combating climate change. However, safety concerns often deter people from utilizing these services. RuteJabar addresses this challenge by:
At the core of RuteJabar is an advanced AI system that generates comprehensive route information focusing on safety metrics and connectivity data. The platform analyzes various data points to provide users with actionable insights before they embark on their journey.
The application presents this information in an intuitive interface, allowing travelers to compare different routes and transportation options based on safety ratings and connectivity levels rather than just distance or time.
Our solution harnesses the power of several Alibaba Cloud products to deliver reliable and scalable services:
● Model Studio: Powers our AI capabilities, generating information on road safety and internet connectivity. It also facilitates translations to Bahasa Indonesia and returns data in JSON format for seamless integration.
● ECS (Elastic Compute Service): Provides the computational infrastructure needed to run our application efficiently.
● OSS (Object Storage Service): Manages the storage of data and media assets.
● ApsaraDB: Handles our database needs, ensuring quick access to critical information.
The technological innovation behind RuteJabar centers on its AI capabilities, which enable:
RuteJabar, conceived and developed during the Alibaba Cloud GenAI Hackathon 2024 in Indonesia and recognized as one of the winners of the competition, represents a significant step toward promoting safer public transportation and encouraging its adoption to support climate change initiatives. By addressing key concerns around safety and connectivity, we aim to make public transportation a more attractive option for daily commuters and travelers alike.
Our vision extends beyond simply providing information—we strive to create a platform that actively contributes to safer commuting experiences while supporting broader environmental goals through increased public transportation usage.
RuteJabar is one of the winning projects from Alibaba Cloud GenAI Hackathon 2024 in Indonesia.
117 posts | 24 followers
FollowAlex - July 9, 2020
Alibaba Cloud Native - September 5, 2022
Alibaba Cloud Community - January 17, 2022
Clouders - June 20, 2022
Alibaba Clouder - June 16, 2021
Alibaba Cloud Native - November 29, 2023
117 posts | 24 followers
FollowAccelerate AI-driven business and AI model training and inference with Alibaba Cloud GPU technology
Learn MoreTop-performance foundation models from Alibaba Cloud
Learn MoreOffline SDKs for visual production, such as image segmentation, video segmentation, and character recognition, based on deep learning technologies developed by Alibaba Cloud.
Learn MoreSelf-service network O&M service that features network status visualization and intelligent diagnostics capabilities
Learn MoreMore Posts by Alibaba Cloud Project Hub
Start building with 50+ products and up to 12 months usage for Elastic Compute Service
Get Started for Free Get Started for Free