Projects

Can AI Tell if Your Essay is Written by AI? Click here for a try. For more details, please go to this page. 

We developed a waste classification web app to help you decide which bin the waste should go. Click here for a try. For more details, please go to this page. 

We developed a DNA sequence encryption solution to protect your biological information safely. Click here to try it. (The info in the left image is just for show, not real from someone.) For more details, please go to this page. 

We developed a solution for auto-medical diagnosis to help GPs and nurses reduce their workloads. Click here for a try. For more details, please go to this page. 

We developed a solution for Breast cancer detection to help detect BC early, save lives and serve the community. 

We delivered a solution for auto-judgement as an assistant of judges to make the decision efficiently. Click here to have a try. For more details, please go to this page.

We are developing a solution to help businesses efficiently process invoices and statements in image or PDF formats. This project will streamline data extraction and analysis, making it easier to manage and interpret financial information.

We developed a web app for a generative model Hide-Seek-GANs to show how the model works and created new style images just in 10 numbers and hundreds of training data. Click here for a try. For more details, please go to this page. 

We developed a solution to recognise DNA sequences automatically to speed the DNA classification either in research or industry. Click here to have a try. For more details, please go to this page.

We delivered an image-style transfer and mapping project to let one can change image style and be an artist.

We developed a solution for forecasting and Analysis of Fintech. This helps investors know the market trend early and get the detailed analysis just in some clicks.

We developed a medical image segmentation by GAN-based transfer learning. This high-accuracy model can speed up the detection and help ophthalmologist significantly.

We developed a large-scale domain adaptation solution in computer vision. This helps computers and machines recognise different style images rather than only on a similar one with a training dataset.