• Developed back-end with Django and front-end with React for members management system to increase efficiency of user and event management process by 20%

• Investigated users’ needs by keeping track of use cases and interviewing from 5 different churches to increase efficiency in development phase

• Implemented user authentication with JWT, RESTful API and Django REST framework

• Developed database with PostgreSQL to save storage space for event and user information by 5%

• Applied Redux as state management tool to reduce time needed in system maintenance

• Deployed the system on cloud using Heroku to avoid the higher cost of local server

• Built a social robotic system with C#, Unity, Python, made it understand users’ emotions from situations and to accompany them through communication

• Recognized user’s facial expression, hand gesture and verbal information by Intel RealSense, and designed algorithms convert them to emotional values for multimodal information analysis

• Implemented non-verbal affective computing with PAD emotional model, and increased the accuracy by 18% by calculating different weights of emotional values

• Implemented fusion of PAD emotional values on decision layer using Linear Regression method and designed algorithm for mapping them in three-dimensional emotional space