A high school student who loves computer science and technological innovation.
1. Quick Summary
National/Provincial Science and Technology Innovation Awards 3 Items
Independent/Led Development 10+ items
Github cumulative 27 Stars(As of 2026/7/10)
2. Self-evaluation
Have a strong interest in computers and science and technology innovation , Learn relevant knowledge by trying to create projects one by one , Be proficient in software and hardware full-stack technology
- Learning to pass Yichang City in 2024Selection of top-notch talents through training planAdmissions Exams Half a year in advanceEnter the provincial key high school to study.
Good atSelf-directed learning and combing,Strong time management ability,Subject performance ranks among the top innovative experimental class - Science and Technology Innovation:Self-study, understanding and proficiencySoftware and hardwareFull-stack development, Have basicInnovative ideas + practical product research and developmentCapabilities
- ideologically: as a member of the Communist Youth League , establishedThe ideal of rejuvenating the country with science and technology, Good conduct, respect for teachers , PossessTeam Awareness and Communication Skills
3. Personal technology stack
Embedded & IoT
Master Control Platform:ESP32 Series, STM32 Series, Raspberry Pi
Development Languages:C/C++, MicroPython
Protocols and peripherals:MQTT, TCP/UDP, HTTP/HTTPS, various sensor interfaces and hardware drivers
Hardware Design & Fabrication
PCB Design: Schematic Design & Circuit Board Drawing
Structure & Fabrication:3D Modeling & Printing, Laser Cutting & Engraving
AI & Computer Vision
Computer Vision:YOLO Object Detection (Ultralytics)
Machine Learning/Large Models:Scikit-learnMachine Learning, Ollama Deployment and Inference
Web & Full-Stack Development
Front-end development:Vue 3, UniApp, HTML/CSS/JavaScript
Backend Development:Python + Flask
Databases:MySQL, SQLite
System & DevOps
Operations & Deployment:Linux System Management, Docker Containerized Deployment, Nginx
Networking Technologies : DHCP, NAT, Port Forwarding/Mapping, DNS Resolution & Domain Name Management
Version Control & Tools: Git / GitHub, Shell Scripting (Bash)
(……)
4. Some awards and honors
The first prize of the 39th and 40th Hubei Youth Science and Technology Innovation Competition
2025 National Youth Information Literacy Competition Finals First Prize
5. Representative projects
1. Mesh adaptive routing optimization system based on self-training AI
Introduction
In order to solve the problems of traditional wireless mesh networks that rely solely on signal strength, susceptibility to occlusion and load fluctuations, we have designed and implemented a set of edge intelligent routing solutions. Using OMNeT++ to generate 6959 simulation data, train a random forest model, and deploy it to ESP32-C6 nodes, realize real-time inference and autonomous networking optimization. At the same time, we have completed the design of 3D printed shells, PCB design, and integration of the whole machine, and built a cloud monitoring platform based on Flask + Vue, which supports topology and node status visualization.
Technology stack:OMNeT++, Scikit-learn, ESP32-C6, PCB design, 3D printing, Flask, Vue3
Results
- The project has been successfully operated, the routing strategy can be adjusted adaptively, and the network stability can be improved.
- Project Documentation:www.ycxhl.top/archives/19
- Theoretical Papers:www.ycxhl.top/archives/25




2. ClarityAI — Intelligent Requirements Alignment Tool
Introduction
It is a tool that helps users go from vague ideas to structured project requirements through multiple rounds of interactive conversations. Users only need to describe the general intention, and the system will guide you to ask questions, and a clear requirements document will be generated.
Technology stack:Vue3, Python, Flask, SQLite, Docker
Results (As of July 10, 2026)
- GitHub Earns 27 Stars
- Bilibili Video Views 3.5w,1674 Likes, 1567 Favorites
- server-side records show that users are using it every day, cumulative conversation rounds reach 909 times
Links - Project Home:www.ycxhl.top/archives/20
- GitHub:Front-end warehouse Back-end repositories



3. Intelligent Shared Bicycle System(Cooperation Projects)
Introduction
A complete bike-sharing solution includes an Android user, a smart lock and a back-end management platform. I am responsible for full-stack software development and embedded program writing.
Functional Modules
- Android: Map positioning, scanning code unlocking, itinerary record, user center
- Smart lock:Based on ESP32,Integrated GPS positioning and MPU6050 attitude detection,Support accident alarm(DingTalk push,Can be canceled within 10 seconds)
- Backend:Flask API + MySQL Database , Log auditing available
- Manage large screens:Vue Implementation, Real-time Monitoring of Vehicle Status
- Deployment:Docker containerization
Technology stack:UniAPP, ESP32, GPS, MPU6050, Flask, MySQL, Vue3, Docker
Project Home: www.ycxhl.top/archives/17





4. Four-axis drone serial port simulation remote control
Introduction
I innovatively used a Raspberry Pi analog serial receiver and flight control via a web interface. The project covered the entire process from hardware design to software implementation, including PCB fabrication, 3D modeling printing, serial communication, sensor data processing, and joint commissioning and PID parameter tuning of the STM32 + Raspberry Pi.
Technology stack:PCB design, 3D printing, STM32, Raspberry Pi, Serial port (UART), PID algorithm, Web control interface (HTML/JS)
Highlights
- Self-designed remote control solution is low cost and highly scalable.
- The drone posture can be controlled through the web page, operation is intuitive.



5. Classroom Management Assistant - AI Classroom Analytics System
Introduction
Use visual recognition to analyze the head-up rate of students in the classroom and generate a report to be pushed to teachers DingTalk. The system includes data annotation, model training, back-end services and front-end display.
Functional flow
- Use LabelStudio to label classroom monitoring images.
- Train the YOLO model to detect student head poses.
- The back-end ( Flask ) handles the video stream , calculates the head-up rate curve.
- The front-end ⼈Vue3) displays charts and automatically generates analysis reports.
- Push reports to teachers through DingTalk robots.
Technology stack:LabelStudio, Yolo, Python, Flask, MySQL, Vue3, Docker




6. Contact me
Email:3329932408@qq.com
GitHub:github.com/kazuky233
Blog:ycxhl.top