For more information about @"Tan Huang", please refer to https://bit.ly/orbital23-mentorship (Search for "PP-8")
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?
@"Tan Huang"
Team Name: UniMates!
Team Members: Benedict Bryan Tjandra & Rachael Priscilla Widjaja
Contact Info: (e1115988@u.nus.edu, e0985945@u.nus.edu), (Telegram: @bryantjandra, @rachaelwid)
Proposal:https://docs.google.com/document/d/17Z3z86613m8YWzVysR2NB0LpvKk7kIHd/edit?usp=sharing&ouid=111781038940144558714&rtpof=true&sd=true
Video: https://drive.google.com/file/d/1-5JT_-OWlGND2Xe3JJ9_o6MxKYgGEt73/view?usp=share_link
Poster: https://drive.google.com/file/d/17kes96-TQ17gVUTdBjS9166LZUIW3ZcB/view?usp=share_link
Dear Tan Huang,
Greetings, we hope you’re having a great day! We believe that your knowledge and expertise in Machine Learning and Web Application Development will greatly aid us in developing our mobile application, UniMates!
Who are We?
UniMates! is a centralized and streamlined platform for National University of Singapore (NUS) students, enabling them to effortlessly discover and connect with compatible peers. Utilizing an online-dating-app user interface that resembles Tinder / Bumble, students are able to find their most compatible partners for study buddies, academic projects, and other non-academic pursuits. By incorporating Gensim's doc2vec model, our ML-Powered recommendation system provides customizable profile suggestions that elevate the effectiveness and uniqueness of our application. Further details are enclosed in our proposal and poster.
Feel free to contact us whenever through Telegram / Email, and as a team, we are very excited to potentially have you as our mentor. Thank you!
Regards,
Team UniMates! (5961)
Team Name: StarSnap
Team Members: Advita Shrivastava (Email: advita.shrivastava@u.nus.edu, Telegram: @advita9), Saumya Shah (Email: saumya.shah@u.nus.edu, Telegram: @DarthInfernus)
Proposal: https://drive.google.com/file/d/1sfeHaahLe7bJzk5XPxEj45qZA834jQ2x/view?usp=sharing
Poster: https://drive.google.com/file/d/1hrw0F_d0PqEaoHPzYO3iDFJwWA81V4p4/view?usp=sharing
Video: https://drive.google.com/file/d/1vwSHfUZ0i16m0tgMsCFb6agESxO704EC/view?usp=sharing
At StarSnap, we aim to develop an identification model using Python and versatile libraries like TensorFlow. With your guidance, we hope to explore neural network architecture, large-scale training, and deployment to ensure optimal performance and accuracy for our model. Additionally, we are committed to creating an exceptional user experience through a seamless and visually appealing front-end interface utilising React, React Native, and Material UI. For our back-end infrastructure, we plan to utilise Ruby on Rails, PostgreSQL, and NodeJS to build a robust and scalable back end. Furthermore, we were also looking to explore web deployment on scalable platforms like AWS. We hope to draw from your expertise to achieve these goals.
What sets us apart from the few existing astronomy identification alternatives is our dedication to providing a convenient and user-friendly experience through our integrated platform with multi-functionality. We differentiate ourselves by offering unique features like personalised learning, catering to astronomy enthusiasts of all levels of expertise, from beginners to seasoned astronomers. Our goal is to create an inclusive and accessible platform that empowers users to explore the wonders of astronomy at their own pace and level of understanding.
Our drive stems not only from our passion for software development but also from our profound love and fascination for astronomy. We hope to draw from your experience to learn to stay up to date with the latest industry standards and practices. With our experience in React and Ruby on Rails, coupled with your invaluable guidance and expertise, we are confident in our ability to make this project a resounding success.
Feel free to contact us through Telegram/Email.
Thanks, and looking forward to working with you,
Team StarSnap
@"Tan Huang"
Team Name: CodeForGood (#5544)
Team Members:
Chua Chong Xuan (e0958059@u.nus.edu, 87837833, Telegram: @chongxuan)
Wong Jia Kai Benjamin (e0957888@u.nus.edu, 82282483, Telegram: @benjiwongjk)
Proposal: https://docs.google.com/document/d/1pw3FiHsVss_XzCt4NDfvKxQOZLMyPKJg97V7RlJGwTY/edit?usp=share_link
Poster: https://drive.google.com/file/d/1GjdIdFkvmqmZHDGCylA7RTkp6FJWOiEH/view?usp=share_link
Video: https://drive.google.com/file/d/1YMPkd_7w-C6HHVoYeyTbSWF1huCde_Hu/view?usp=share_link
Dear Mr. Tan,
We are CodeForGood and we are thrilled to introduce our project, NUSMatch, to you. As students ourselves, we recognise the challenges that students face when forming project and study groups. As such, our goal is to create a web application that benefits the NUS student body by providing a platform for students to connect and form groups. Additionally, we aim to offer students the opportunity to enhance their soft skills and work with different people, which would be valuable to them in the future.
With our passion for this project and our understanding of its significance for the NUS community, we believe that we are a great choice to bring this idea to fruition. Our solution would be particularly helpful for off-campus students and student exchangers. Although we are aware that this project will demand hard work and long hour, we are highly motivated individuals who are committed to learning and acquiring the necessary skills to accomplish this task. We are confident that with your expertise on machine learning and web application development, combined with our drive and dedication, we can further enhance our solution and turn our idea into reality.
We would be more than happy to answer any questions that you may have regarding our project and would appreciate any form of guidance and support. We look forward to the opportunity to work with you.
Thank you for your valuable time and consideration!
Cheers,
CodeForGood