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A highly customizable desktop clock created by C# and WPF. 
The features are shown below
1. Quickly redraw the clock (WPF using directX)
2. Support transparency (WPF)
3. Easily customize (move, resize, close, change font, ...)
Github : https://github.com/NawaNae/WPF-Desktop-Clock

desktop clock

M.S. student

洪堯煬

The discord bot contains several NLP functions help users learn language. This project is for NTHU NLP lab crouse final project, finally, we get 2nd place in final competition.

Functions:
1. prefix, suffix, root search in your input vocabulary
2. vocabulary using frequency search
3. sentence confidence, emotion and subjectivity check
4. scrabble
5. daily vocabulary, prefix, root and suffix

Duties:
1. discord bot framework
2. UI/UX
3. js to python api
4. root, suffix search concept 
5. document

Github:https://github.com/kevin879275/NLP_FinalProject

Discord Language Learning Bot

This project is for NTUT object oriented lab course. The rule is, using object oriented and easy framework (not a game engine, only loop) to make a comprehensive game. Finally, we spent 80 hours and got the 1st score in course.
intro web (play and github): https://nawanae.github.io/PokemonWebV2/#WithoutLogin



Hand-craft pokemon yellow web (GB)


In this project, we use a XGBoost and Res-regression model to try to handle the milk volume prediction problem, predict milk volume by datasets include cattle information, which is raised by the Taiwan Provincial Cattle Industry Improvement Association –TPCIIA. 

Conclusion:

1. Res-regression is better than average and the others traditional model, and get RMSE 5.8.​
2. XGB regressor well fit this problem because of the data uncompleted and the small amount, finally get RMSE 5.47.

milk volume prediction

This is the final project for Deep Learning and NLP Research Methodologies course, NTHU. We propose our debluring model to handle OCR blurry input. Hence, we adopt the SmartDocQA, a real-world phone took text images dataset, as our deblur dataset. After our aligment of dataset and training, finally we get better OCR accuracy.

report : https://drive.google.com/file/d/1YN7MRtP-H9nG6fFzkbsAzOiep2lWzLnj/view?usp=sharing

OCR improvement by debluring mobile phone shot doc

This project is for NTUT web crouse final. We combine MDL with Bootstrap as our front-den. Adopted Firebase as DB system, hence the website have login and notice functions. 

Tea Factory Website

The project for NTUT database course. We designed a tea transaction website from architecture discussions to ER diagram, from diagrams to front and back-end.
We use django as back-end with SQL database.
demo : https://youtu.be/b8fgaUsa_u4
github backend : https://github.com/TaipeiTechTeaTransactionTeam/BackEnd
github frontend : https://github.com/TaipeiTechTeaTransactionTeam/TTT
report :https://hackmd.io/@zxjte9411/Hk2nVFjt7?type=view

Tea transaction website

The graduated project of NTUT CS dept. We cooperated with M.S. student to enhance the SGAN trajectories prediction model. Eventually, we get better predictions by extracting new features  and attention in model.
report : https://drive.google.com/file/d/1DOYCHNcQMpwV43imlYQUIwkmYVo7kjZe/view

Vehicle trajectories prediction by machine learnin

I'm an M.S. student major in the CS dept., NTHU. Now, my research field is CV, such as deblur or super-resolution, etc. I am good at javascript, python, and C++. I graduated from the CS dept., Taipei Tech, also got 1st rank. Trying new fields is what I eager to, therefore I don't scare but happy to learn. That's why I have been explored brand-new courses, events, and places.

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