[Mentor #2] Allan Neo (matched)

For more information about Allan, please see: https://bit.ly/orbital22-mentorship (slide 17)

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 Allan,

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 wide array of experience across domains including artificial intelligence and the full stack (frontend and backend) would be very helpful to us in making Easylink a reality. Our aim is to build a robust, dynamic system that can refine recommendations based on user activity.

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 Information __Name:__ FindNUS __Team Number:__ 5014 __Members:__ | Name | Email | Phone | Telegram | |------------------------|--------------------------|-----------|--------------| | Ow Yong Jin Xuan | jinxuan.owyong@u.nus.edu | 8774 5477 | [@jinxuaaaaan](https://t.me/jinxuaaaaan) | | Yek Jin Teck, Nicholas | nicholas.yek@u.nus.edu | 9119 4248 | [@NichYek](https://t.me/NichYek) | __Materials:__ [Video, Poster & Proposal](https://1drv.ms/u/s!AsnQ61CTQSjFauqvWKqVGsU9EF8?e=sGgijO) ### Personalised Message Hi there Allan, We are Project FindNUS. We think that the current lost and found (LNF) system in NUS is broken, and we want to fix that. Why is it broken? 1. The official lost and found website is unoptimised for mobile (when we lose things, the first thing we do is check using our phones! unless you lost your phone, of course...) 2. Lost item listings are fragmented across multiple platforms, from the official LNF website to various NUS telegram groups. 3. The official LNF system is troublesome for people who want to submit lost items to. They have to go down to a physical LNF counter to register the item. FindNUS aims to make the LNF process as frictionless and seamless as possible, with a mobile-optimised, user-centric search and submit function for LNF items. More details in our proposal ;) Through this project, we hope to not only learn various industry-standard technologies, but also take the opportunity to develop something useful for the NUS community! Thanks for taking time out your busy schedule to mentor for Orbital. We hope that our project vision speaks to you to take us on as your mentees. With your deep knowledge and mentorship, we are sure that we can develop an awesome and well-made web application for the NUS community :)

Team Particulars: Team name: CoinValet (5435) Student names: An Cheng Yang & Aditya Jirafe Contact methods: Email – e0725272@u.nus.edu & e0774443@u.nus.edu Telegram – @anchengyang & @adigiraffe Mobile – 98231543 & 83496750 Project summary: For Reference (Poster, Video and Proposal): https://drive.google.com/drive/folders/1jTOu4vyhTCdZXjZelkZhiE95KSElYAlU?usp=sharing CoinValet is an app that: - Adopts a trading bot that analyses various trading indicators to detect potential winning trades in the cryptocurrency market. - Utilises Machine Learning to improve the algorithm’s accuracy. - Notifies users via a telegram bot and grants the user autonomy in opening or closing trades. - Displays performance metrics in a clean and clutter-free manner. - Allow users to share their portfolios and trades with other friends. Good day Mr Neo, We are CoinValet (Team 5435) and we would like to take this opportunity to introduce our project, as well as seek your assistance on our endeavour. We noticed that you have extensive experience in Machine Learning and we believe that you would be a great fit for our team as we aim to utilise ML to build our trading algorithm. Incorporating ML into our project is a definite challenge that we foresee, and we are very keen on embarking on this journey with you. We will definitely benefit from your knowledge and experience in this area. Our team wants our app to have a user-friendly interface that looks clean and distraction-free. We also want our trading algorithm to be time and space efficient, continuously extracting data from the trading platform API quickly so as to provide real time information and trading notifications. Our users should be able to receive notifications as accurately and as promptly as possible. Considering your vast experience in frontend and backend processes, our team believes we have much to learn from you. Our aim is to create a fully functional app and trading algorithm that we can be proud of as well as make trades that are mostly successful so as to grow our portfolio. We are very excited about this project and we are sure that you will be excited about it too. We look forward to having you on board this journey with us. If you have any questions, please do not hesitate to contact us and we will gladly respond :)

Team Name: Telekinesis Gloves
Members: Chun Yu, Ian Teng
Contact:
Telegram - @chunyulam @Iantensoku
Email - e0725716@u.nus.edu e0773862@u.nus.edu
Project Materials - https://drive.google.com/drive/folders/17BSJtu0srbWxCK6xOV0LtptBCLvwcapV?usp=sharing

Hey Mr Allan,

Nice, to meet you! Our project, Telekinesis Gloves is a unique idea of ours to build a glove that is able to help users control electronic devices around them using gestures. Our project aims to build upon various hardware and software technologies to build something we feel is really, really cool and interesting.

Due to the nature of our project, our tech stack is extremely unique, and your knowledge and experience across multiple domains would tremendously help us in achieving our project goals, and it would be a honour if you would be willing to work with us on this project.

Feel free to reach out to us if you have any queries, we would love to answer them, at @chunyulam or @Iantensoku on telegram!

Hi Allan!

Nice to meet you. We are Jing En and Yi Kuang, and we would love to have the honour of you mentoring us for our project!

Our project - Pilot is an extension of conventional academic search engines on the open web. Combining features such as instant click downloads, field-related analytics and the ability to curate personal archives, we aim to liberate and revolutionise the way we browse academic papers. Project Pilot combines the functionalities of JSTOR's constellate API, Google Scholar and Library Genesis, to allow users to browse, save and download research papers for free on demand, on top of other additional features.

Features

1. Our intended recommendation algorithm will allow users to spend less time searching while gaining access to the most relevant & curated academic papers.
2. Every student knows how annoying it is to lose a paper that you saw somewhere, somehow, a long time ago. Pilot’s personal database will allow users to store papers with the click of a button, storing it into their own database for later reference. No more frustration of losing your papers!
3. Updated analytics on the academic fields that the query is related to. In this manner, users will be able to gain an understanding of where their search query is applied in real-world contexts.
4. On-demand instant download through fuzzy search with Libgen’s database, without the need to visit third party websites.

Members

| Piloteer 1 | Loh Yi Kuang | Email | Telegram | Github | LinkedIn
| Piloteer 2 | Wong Jing En | Email | Telegram | Github | LinkedIn

More Details

Poster

Video

Proposal

Hi Allan, we are team Dabaogo. We are creating a mobile-centric food delivery service that would create an opportunity for students to not only make money when they go out to have lunch but to also help fellow students get lunch and potentially make new friends. We aim to create not just a food delivery service but a community where students help one another buy lunch and make friends along the way with a small monetary incentive spurring these acts of kindness. Your experience as an engineering manager would be instrumental in helping us craft a seamless and most optimized experience for our users. Thus, we would be excited and honoured to have you on board as our mentor. We hope you find our project meaningful and exciting as we are keen on working with you to create an app that can change the way students order food on campus.

Project Details:

Project Video: https://drive.google.com/file/d/1zaW_4q9-x0z3pFO9acICvodXmOzqaKqV/view?usp=sharing
Project Poster: https://drive.google.com/file/d/11wQvwvJST_TPnV4NvaZaCRsRqA9ZSrm8/view?usp=sharing
Project Proposal: https://docs.google.com/document/d/1BIouLJzyy_-V7yjyimsfEL6Ro14WXxXW/edit?usp=sharing&ouid=113195246530884439960&rtpof=true&sd=true

Team Particulars:

Team Name: Dabaogo (5013)
Members: Sean Er Wen Han, Naren Sreekanth
Email: e0726320@u.nus.edu, e0727197@u.nus.edu
Telegram Handles: @froggydoodle, @nareuss
Phone numbers: 90667568, 81618414