About the challenge

AWS Build on is back for your chance to showcase your cloud development skills! This year, we have partnered with e-commerce giant ZALORA and the National University Health System to come up with a set of problem statements targeted at contemporary real-world issues.

Whether solo or in a team of up to 3 members, propose a solution to one of the problem statements that incorporates the use of AWS services.

Shortlisted teams will stand a chance to win prizes worth up to US$500 and employment opportunities with our partnering organizations!

Do note that participation is only open to teams based in Singapore. Finalists will be invited to present their projects in person at the AWS Singapore Headquarters.

Get started

Select from one of the following problem statements and present a solution that leverages on AWS Services:

ZALORA

Helping shoppers to select the right sized apparel and shoes without having to worry about returns is one of the biggest challenges faced by the fashion e-commerce industry. Develop a solution that provides ZALORA's diverse range of shoppers with the confidence that they are selecting the right size when shopping online.

NUHS

One of the most common tasks in a ward is to dispense and deliver medication to patients, which must be undertaken in a timely manner as patients are waiting to receive their medication before going home. Develop a robot to deliver medication from a satellite pharmacy to a desk beside the patient's bed in the shortest possible time without collision. The robot must be capable of autonomous navigation, optimal route planning and dynamic object avoidance using video-based object recognition. A training set consisting of a virtual ward environment simulating the random movement of people and objects will be provided. The challenge will be split into two parts, with participants selecting one of the following key problems to tackle:

1. Object detection
2. Advanced navigation capability

• Completeness
  Does the presented solution address all the problems completely and is fully relevant to the selected challenge statement?
• Applicability
  To what degree does the presented solution solve the problem?
• Technicality
  Is the solution's architecture sophisticated in its use of AWS services?
• Cost Effectiveness
  Is there any other cost effective method or services that could be utilized?
• Scalability
  Is the presented solution feasible with potential for future enhancements? Can the prototype be brought to market after development?