Constructed adjacency lists describing the music influence network topology of musicians, establishing relationships between influencers and followers through weighted directed paths. Computed the music influence value for each musician using DFS recursion
Combined graph networks with mathematical modeling to calculate musician similarity using cosine similarity and music feature influence using Pearson correlation coefficient
PetCharm Pet Platform & Campus Takeaway Delivery Platform
Backend Development
Built a database system using MySQL
Developed backend APIs using Django based on the MVC model, utilizing Nginx and uwsgi reverse proxy
Implemented secure login using session and cookie mechanisms, set up email verification and object storage systems
Personal Website
Frontend Development
Built personal website using React and TypeScript, enhanced with TailwindCSS
Memo & IoT Monitor
iOS Development
Developed iOS apps for diary, book, movie records, and IoT device control using Swift and SwiftUI. Used HTTP to call backend APIs for real-time information and control of IoT devices
PCode Compiler
Java Development
Performed lexical analysis, syntax analysis, error handling, and generated Pcode code using finite automata, recursive descent, and other methods
MIPS-CPU
Verilog Development
Implemented a 5-stage pipeline CPU based on MIPS instruction set using Verilog
New York City Taxi Fare Analysis & Music Preference Analysis
Peter the Great St.Petersburg Polytechnic University Big Data & Machine Learning Project
Employed SVM, XGBoost, deep neural networks, and more for data analysis
Long-term wind prediction in wind farm areas based on machine learning
Graduation Project
Implemented wind speed long-term forecasting using a deep neural network based on LSTM