Building Your First Machine Learning Application on Mobile, Web and IoT

This session covers AI's ubiquity and helps beginners decide on the right framework or platform for their machine learning projects. It also simplifies the process of integrating trained models into mobile, web, or IoT applications and offers a step-by-step guide for integration.

Oct 28, 12:30 – 2:00 PM


Key Themes


About this event

AI is all over the place. Interested in building a machine learning application but not sure where to start? In this session, you will first learn how to determine which framework or platform you’ll be using to build your ML-powered application. Integrating a trained machine learning model into a mobile / web / IoT application can be a complex process, but with the right tools and approach, it can be done relatively easily. Next, you will learn step-by-step how to integrate machine learning models for mobile and web applications.


  • Lai Fong Leong


    AI Engineer


  • Ritchie Poh


  • Shaun Liew


  • Zhi Yi Ho

    Lead and Women Techmakers Ambassador

  • Yicheng Lai

    Sponsorship Team

  • Chun Keat Koay

    Sponsorship Team

  • Guodong Tan

    Marketing and Sales

  • Hui Ern Lim

    Marketing and Sales

  • Looi Wei En

    Universiti Sains Malaysia (USM)

    DevHack Co-Director

  • Tai Yu Then

    DevHack Director

  • Ming Wei Lee

    Public Relations

  • Angel Ang

    DevHack Member

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