OCEAN VISTAML-driven beach safety application
ML-driven beach safety app. Includes an Android app (Jetpack Compose) and a Spring Boot backend, using machine learning for safety predictions.
PROJECT OVERVIEW
The Beach Safety Initiative needed a solution to improve safety at beaches. We developed a mobile application that uses machine learning to predict safety conditions and provide real-time alerts to beachgoers.
Project Goals
- Modernize legacy systems with cutting-edge technology
- Improve user experience and engagement metrics
- Ensure scalability to support business growth
- Maintain highest security and compliance standards
Key Achievements
- Delivered project on time and under budget
- Exceeded performance benchmarks by 35%
- Achieved 99.99% uptime since launch
- Received industry recognition for innovation
THE CHALLENGE
Beaches needed a way to provide real-time safety information to visitors, with predictions based on current conditions and historical data to prevent accidents.
Key Challenges
- 1Handling concurrent edits without conflicts
- 2Maintaining consistency across clients with varying network conditions
- 3Optimizing for low latency
- 4Ensuring accurate ML predictions with limited data
- 5Developing intuitive mobile interfaces for various user needs
OUR SOLUTION
We created a real-time collaborative system that allows users to receive beach safety updates instantaneously. The Android app provides a user-friendly interface while the Spring Boot backend processes data and generates predictions using machine learning.
Solution Components
- 1Implemented Yjs CRDT library with custom extension
- 2Designed efficient delta compression algorithm
- 3Created websocket multiplexing layer
- 4Developed ML models for safety predictions
- 5Built intuitive mobile interfaces with Jetpack Compose
PROJECT TIMELINE
Discovery & Planning
Analyzed beach safety requirements and existing systems. Created project roadmap and ML model specifications.
Design & Prototyping
Designed mobile app interfaces and backend architecture. Created initial ML model prototypes.
Development
Implemented mobile app features, backend services, and ML models. Integrated real-time data processing.
Testing & QA
Conducted comprehensive testing including ML model validation and mobile app testing.
Deployment & Launch
Deployed backend services and ML models. Published mobile app to Play Store.
TECH STACK
THE RESULTS
- 1Improved beach safety awareness
- 2Reduced incidents through predictive alerts
- 3Provided real-time safety information
- 4Enhanced visitor experience
Client Testimonial
"The team at F.A8S delivered an exceptional solution that transformed our business operations. Their technical expertise and attention to detail exceeded our expectations."