[Mentor #44] Matthew Lee (matched)

For more information about Matthew, please see: https://bit.ly/orbital22-mentorship (slide 59)

If you would like to be mentored by him, please add a reply below, with the following details:

Your particulars: Team name + Student name + Contact method (Email and other messaging tools)
Your materials: Proposal + Poster + Video
A personalized message: Why should the mentor pick your team?

UPDATE: We have added a Figma mockup of our project: https://tinyurl.com/Easylink-figma

Team Name: Easylink
Team Members: Pei Cheng Yi, Huzaifa Raghav
Contact:
Email - e0684538@u.nus.edu, e0684531@u.nus.edu
Telegram - @ChengYi123, @Huzaifa2171

Proposal:
https://tinyurl.com/Easylink-Proposal

Poster:
https://tinyurl.com/Easylink-Poster

Video :

Dear Matthew,

Good day to you!

We are seeking for a mentor to guide us through the development of our web application, Easylink. Our product aims to link university students with each other and with projects based on their skills and interests to make university life more eventful. More details of Easylink can be found in our proposal, poster, and video.

Your experience with full-stack development and Machine Learning will help us substantially in developing our web application. We hope to build a robust system that is dynamic to our users' activities, and we hope to have you help us achieve our goal!

We are very excited to have you as our mentor. Please feel free to reach out to us through Telegram or email!

Thank you for your time!

Kind regards,
Cheng Yi and Huzaifa

Team Particulars

• Team name: NUSMaps (5433)
• Student names: Wang Jiayi & Lee Jia Zhen
• Contact methods:
  • Email – wjiayi@comp.nus.edu & jia_zhen@u.nus.edu
  • Telegram – @wangjiayis & @kyrialjz
  • Mobile – 96225421 & 80221206
  • We are more than happy to connect with you and answer your queries :)

Project Materials

• Summary:
  • NUSMaps is a semi-automated map modeling project.
  • Interim goal: process publicly available floor plans and street views to model the campus through the adoption of new tech stacks.
  • Short term goal: provide a practically impactful solution – inclusive navigation for NUS’ 40,000 students.
  • Long term goal: commercialize the program by applying the scalable and stable system to model other campuses and buildings.
• Poster, video and detailed proposal: https://drive.google.com/drive/u/0/folders/1hjW0nb4F5-osVZKFZiJFwFSMvAOOa-kF

Personalized Message

Good day Mr Lee! We are team NUSMaps – an action-driven and dedicated team with a profound passion towards delivering innovative and practical solutions which impact the NUS student population positively.

• In the development phase, a prominent aspect of our project involves machine learning, where we process raster images and transform them into 3D models. Hence, we will greatly appreciate your expert guidance on this domain.
• Furthermore, we believe that your experience with full stack development will serve as highly valuable guidance. Specifically, our project needs to be supported by a database that can handle high-frequency queries on both static and dynamically populated data and we need to integrate this with the front end smoothly. Thus, we believe that your inputs will be imperative to our journey of producing a scalable and stable system.
• Moreover, beyond implementing the program, we believe in the importance of testing and debugging. In particular, your background in addressing high severity vulnerabilities will help us uncover potential blind spots in our system design. We will greatly value your inputs to make the system stable and thus reliable.

Thank you for reviewing our message with much thought and detail, and we certainly look forward to your favourable reply!

Team Name: Crayonz
Student Names: Ritika Manish Joshi & Joy Tan QiaoTong

Contact Methods:
Telegram: @respectandconsent & @TQT_2311
Email: e0775576@u.nus.edu & e0775479@u.nus.edu

Materials:
Poster: https://tinyurl.com/ColourzPoster
Project Video: https://tinyurl.com/ColourzVideo
Proposal: https://tinyurl.com/ColourzProposal

Hi Matthew!
We are a team working on a mobile application which aims to not only simulate colour blindness for users but also allow them to “play” with colours through our unique set of features.
Your self introduction resonated with us as our project is heavily reliant on image processing and we were looking to incorporate computer vision to create the main features of our project (colour blindness simulating filters, colour detection etc.). We would like you to be our mentor as our project as we would definitely need strong guidance in the computer vision aspect.
Thank you!