計畫類型(合作對象): 產學合作計畫(教育部)

藉由學徒制度的方式，達到學校的學生、教授、與公司三方面的密切合作。由公司來定義所遇到的問題以及需要的人才背景，結合學校的教學資源，培養出業界實際需要的人才，並有能力到公司實際參與產品的設計過程

By adopting an apprenticeship approach, a close collaboration can be established between students, professors, and companies within the academic realm. Companies can define the challenges they face and the required skill backgrounds while leveraging the educational resources of the school. This approach aims to cultivate talents that meet the industry's practical needs, enabling them to actively participate in the product design process within the company.

計畫類型(合作對象): 產學合作計畫(宜鼎國際) 

負責設計主要搜尋系統架構，並透過建置網站來實際運行，並進行整體架構微調。

Responsible for designing the core search system architecture, implementing it through website development for practical operation, and conducting overall architectural refinements as needed.

計畫類型(合作對象): 產學合作計畫(傑睿資訊)

透過建置爬蟲從股市網站上擷取資料，並使用LSTM模型來實際預測股市趨勢及相關功能，並對整體架構進行微調處理。

By constructing web crawlers, data is extracted from stock market websites. This data is then utilized to implement LSTM (Long Short-Term Memory) models for practical stock market trend predictions and related functionalities. Furthermore, the entire architecture is fine-tuned for optimal performance.

計畫類型(合作對象): 科技部專題研究計畫(交通大學)

同時也是大學專題，主要負責設計問答機制及架構，並透過建置在linebot上來實際運行，透過word2vec模型建構檢索式問答系統，並透過餘弦相似度達成問答本體。

Simultaneously, this is also a university project where the main responsibility involves designing a question-answering mechanism and architecture. The practical implementation takes place through a Line bot. A retrieval-based question-answering system is constructed using the word2vec model, and the core question-answering functionality is achieved through cosine similarity.

計畫類型(合作對象): 科技部研究計畫(交通大學)

為基於人工智能融合技術集成多元環境感測的導引及巡邏機器人的第二年計畫，透過獲取使用者的感測器資訊並結合第一年的檢索式問答系統，來達成多元資訊融合技術。

For the second-year project of the AI-integrated technology for guiding and patrolling robots in diverse environments, the objective is to achieve multi-modal information fusion. This will involve acquiring sensor data from users and integrating it with the retrieval-based question-answering system developed in the first year. The goal is to create a comprehensive technology that fuses various sources of information.

計畫類型(合作對象): 產學合作計畫(游能俊診所) 

協助診所進行資料清洗，將其機密資料針對其要求來進行處理，為其客製化軟體模組，並建立自動化架構來完成後續的相關工作。

Assisting the clinic in data cleaning by processing sensitive data according to their requirements. Developing customized software modules to cater to their needs and establishing an automated framework to handle subsequent tasks.