Haodong Chen

Haodong Chen

Postdoctoral Associate

Web-Based App for Machine Learning Education

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Goals

  • Create a web-based app to facilitate machine learning education and interactive dataset management.
  • Enable secure, real-time machine learning training and testing using IoT and sensor data.
  • Develop a user-friendly interface for easy interaction and educational use.

Key Findings

  • Web Application Development: Developed a web application with a TypeScript-based frontend and Python-based backend for storing machine learning-ready datasets.
  • IoT Integration: Integrated IoT and sensor networks to enable real-time data collection, machine learning education, and testing.
  • User-Centric Design: Designed user-friendly interfaces and optimized data handling for efficient and seamless interactions within online machine learning environments.
  • Data Security: Implemented secure data storage and retrieval systems to ensure data integrity and accessibility, supporting multiple concurrent users and datasets.
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Technologies Utilized

  • Frontend Development: TypeScript, React.js, HTML, CSS.
  • Backend Development: Python, Flask/Django, REST APIs, SQL Databases.
  • Data Security: Secure data storage, encryption, and user authentication.
  • IoT Integration: IoT sensors, real-time data streaming, and live visualization.

Impact

This project provides a modern, interactive platform for machine learning education and real-time data analysis. By enabling IoT-driven data collection, secure storage, and responsive web-based interactions, the system empowers students and educators to engage in hands-on learning experiences.