GSoC Application – AI Mentor for PocketCode Students

[黃peter]

Dear Paul and Patrick,

I hope you’re doing well! My name is Shing Han, Huang, and I am a first-year Master’s student in Computer Science at the University of San Francisco. With over 10 years of Android development experience and active involvement in machine learning projects, I am excited about the opportunity to contribute to the AI Mentor for PocketCode Students project through GSoC.

I recently integrated Langchain to develop an AI travel itinerary app that understands a user's travel context and provides real-time, personalized recommendations. This project reinforced my passion for building intelligent systems that deliver context-aware assistance—an approach I am eager to apply in the realm of coding education.

I would appreciate your guidance on the following areas as I refine my proposal:

1. Designing an Effective AI Mentor:
   How can we build a context-aware mentor that offers personalized, real-time coding assistance tailored to each student's learning pace and challenges?

2. Structuring a Strong Proposal:
   Given my extensive Android development background, my current ML projects, and my vision for an impactful AI mentor, what recommendations do you have for structuring my proposal to best highlight my skills and innovative ideas?

Thank you for considering my application. I look forward to your insights and the opportunity to contribute to this transformative project.

Best regards,

Shing Han, Huang
Linkedin: https://www.linkedin.com/in/peter-huang-70b42820a/