Implemented a linear regression model that fit on the 2021 Stack Overflow Annual Developer Salary Survey. The model gives users the predictions of their approximated salaries based on their level of education, the country they reside, and their years of experience.
My teammates and I developed a simple AI chatbot with four layers of neural network: one input layer, two hidden layers, and a output layer. The model will predict the most approriate response from a given sets of responses to respond with when user asks a question.
Designed an e-commerce website using Django framework with authenticator and user management. Imagine something like Amazon but in a form of auction so user is able to bid on something that's rare or limited. The application also supports shopping list.
Created a brand new IHOP website with added features such as English/Español pages and finding closest IHOP restaurant using advanced Javascript technologies (AJAX, ES6 modules).
Researched and implemented face and person detection algorithm from open-sourced
libraries:
open-cv and face-detection. The program uses CNN or Convolutional Neural Network to analyze
each frame of the video whether there is a face and compare that face to a list of known
identities to identify that person.
Designed an AI Flappy Bird game using genetic algorithm, NEAT or NeuroEvolution of Augmenting Topologies. The algorithm applies a biological concept, speciation(the evolution of species). By recording the fitness of each individual at each generation, the model will evaluate upon the information and adjust weight accordingly with the sole purpose of survival.