We are Phillmont and Marcus from team Bloodwork, and we are building BloodConnect, a platform to connect doctors and blood donors in cases of emergencies or low supply at blood banks. Doctors can make requests, and the nearest compatible donors will be notified. Donors can also browse through requests and start donating.
We plan to build the platform with React Native for the front-end mobile application and Node.js, Firebase, and MySQL for the back-end RESTful API and database management.
Thank you for your kind attention, and we look forward to working with your guidance! (☞゚ヮ゚)☞
Our team is creating an Android mobile application that aims to provide SOC students with both an online and offline option to engage in peer-to-peer learning and socialising, creating a strong support system in which they can seek help, inspiration and companionship from.
We are motivated and excited to make something useful for SOC students and at the same time gain more insights to deepen our learning in our field of interest. We hope that our idea will interest you and we believe that you will be able to bring us to greater heights through our Orbital journey! :D
Hi Stella! We are Cai Jialin and Liu Chuyue and we're making a multiplayer, GPS-based RPG set in NUS with pixel art graphics and we'd like to apply for mentorship with you.
We would love your guidance in Unity Multiplayer and UI/UX to take our project to the next level. We've included demo pics and detailed features we hope to implement in our proposal, so please check it out!
We are team Chio Chio and our project name is EatWat. We are planning to make a mobile app to address the current problem of the extremely long queuing time during lunchtime in NUS. By allowing students to pre-order their meals via the app and notifying them once their food is done, they can beat the queue and get their meals in the most efficient manner. Vendors can also benefit from our app as they can get a deeper insight into the customer demand and prepare food in advance.
In the future, we want to expand our user base to more settings such as hawker centers and other universities.
We would be honoured to have your guidance along this journey. Attached are the details of our project. Kindly find the following links for more information:
Anything you’d like the mentor to know: We are committed to learning in-depth about algorithmic trading and with your knowledge and experience in the financial markets, we would be grateful to have your guidance on our project.
We are Jun Da and Illio from team BridgeBot. Our aim is to create a Telegram bot capable of faciliating a game of floating bridge with several additional features that can ease the learning experience for a new player. Beyond that, we also want to be able to create a recommendation system that analyzes the best play given the information currently available.
We intend to write our bot in Java using pre-existing libraries as well as explore possible avenues to incorporate machine learning in our recommendation system.