Wave Watch Monitoring
in Web DevelopmentAbout this course
Wave Watch: Live Wave Data Monitoring
Suggested by top companies
Top companies suggest this course to their employees and staff.
Comments (0)
It highlights the collaborative efforts of the group and acknowledges contributions under the Apache License 2.0.
Chapter 1 highlights the system's purpose to provide real-time wave height data and predictions to enhance maritime safety in the Philippines. It addresses the significance of such a system for fishermen, boat operators, local authorities, and the community, while also discussing its objectives and limitations.
An overview of the tools and technologies employed, such as Python, Flask, SQLAlchemy, MySQL, Electron, and Apache Cordova.
Describes the system architecture, workflow, and implementation processes. It discusses the interaction between the frontend, backend, and database layers, highlighting features like user authentication, map interaction, and data visualization. It also includes deployment procedures to Render for production.
Describes the user-friendly features of the WaveWatch system, including a landing page with an interactive map, secure login and registration options, and tools for accessing marine data. It highlights dynamic visualizations, such as real-time wave animations and geospatial maps, enabling users to explore wave patterns and marine conditions interactively. The design ensures accessibility and ease of use across web, desktop, and mobile platforms.
Highlights the WaveWatch development team's diverse expertise in backend programming, frontend design, database management, and project coordination, showcasing their collaborative efforts in creating a user-friendly real-time wave monitoring system.
Lists of sources and materials cited throughout the project, including academic articles, technical documentation, and software tools, ensuring the credibility and technical foundation of the WaveWatch system.