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Wear your clothes, virtually.
Creating a solution for ZALORA's problem statement leveraging on AWS services.
Our solution hinges on one thing that large ecommerce firms like Zalora have: BIG DATA. Upon entering the site for the first time, users are prompted to input essential measurements.
AR & VR with social elements is the way to go!
Thinking outside the box
Ultrasonic Sensor & Semantic-Segmentation Object Detection to provide higher hospital productivity & manpower, faster pharmacy-to-bed timings and Streamlined clinical workflows.
Producing good solutions for all
You're purchasing a new pair of pants for tomorrow's dinner, how will you know it fits? Just load up Zalora which has your dimensions and it will find you the perfect fit.
An application inside ZALORA that helps to obtain measurements from images uploaded by customer to filter product based on their size.
To improve solutions with innovation and technology.
Do you always feel frustrated when deciding which size will suit you the best when choosing your apparel from different merchants? FitMe is designed to recommend the most suitable sizing for you.
This project aims to help shoppers who shop online on Zalora to effectively and efficently get the right sizee of apparels and shoes that the shoppers are interested in.
Smart machines where can dispense medicine prescribed by the doctors
An object detection algorithm using AWS sagemaker and AWS IOT greengrass. This will allow robots and similar edge device to detect objects in its path and avoid them accordingly.
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