Project-based STEM builder
AI Agents · Automation · Research Tools · Computer Vision · Scientific Modeling

I am a student at Princeton International School of Mathematics and Science.
I build tools that turn messy real-world problems into structured systems: schemas, validators, simulations, automations, dashboards, and useful software.

My main interests are:

• AI agents that can understand one domain deeply instead of only chatting
• Safe automation with OCR checks, dry runs, status indicators, and audit logs
• Computer vision for screen recognition and decision support
• Research software for biology, environmental data, simulation, and modeling
• Music technology for sheet-music conversion, transposition, and workflow automation
• Game / CLI tools that turn algorithms into interactive systems

• wechat-assistant - A macOS Python assistant for safe WeChat UI automation with OCR contact checks, dry-run scheduling, birthday reminders, templates, audit logs, and a Tkinter dashboard. | Python macOS OCR Tkinter Automation
• wechat-ai-bot - A FastAPI backend prototype for WeChat and Enterprise WeChat bot callbacks, local chat testing, URL verification, and encrypted message helpers. | Python FastAPI Webhook Chatbot
• internet-meme-radar-skill - A Codex skill for researching internet memes, slang, viral jokes, short-video trends, and platform-specific cultural references with evidence-based uncertainty. | Python Research Skill Internet Culture

• quehun - A Mahjong Soul screen-recognition assistant for tile detection, hand-efficiency analysis, and optional guarded auto-clicking on Windows and macOS. | Python OpenCV Computer Vision Automation

• algae-project - A Python research sandbox for simulating algae growth and training a PPO reinforcement-learning controller over light, nutrients, temperature, ultrasound, and trace elements. | Python RL Simulation Algae
• base-algae - A Python research workspace for algae sound-frequency experiments, browser-based tone exposure automation, session logging, and turbidity/lux plotting. | Python Research Selenium Matplotlib
• Algae-Growth-RL-learning - A reinforcement-learning project for simulating algae growth and optimizing environmental factors such as light, nutrients, ultrasound, and trace elements. | Python Machine Learning Optimization
• nj-nitrate-dashboard - A read-only Flask dashboard for precomputed New Jersey nitrate research outputs, including maps, figures, dashboard JSON, and proposal assets. | HTML Flask Water Quality Dashboard

• PDFtoMSCZ - A Python workflow that converts PDF sheet music to editable MuseScore MSCZ files using Audiveris OMR and MuseScore 4. | Python OMR MuseScore Sheet Music
• Auto-Music-Transpose - A Python tool for transposing MuseScore MSCZ files while preserving rhythm, rests, chords, note spelling, key signatures, and optional PDF export. | Python MusicXML Music Theory
• auto-transpose - A Python toolkit for MuseScore, SmartScore, MusicXML, PDF, and MSCZ conversion and transposition workflows. | Python MusicXML PDF Conversion

• code-buster - A command-line decoder for Codebusters-style ciphers, including Caesar, affine, Atbash, Vigenere, Morse, Baconian, and substitution search. | Python CLI Ciphers
• fcsgame - A console-based Python farming, crafting, and survival game prototype with world generation, inventory, exploration, and text-file save data. | Python CLI Game World Generation
• ai-book-video-project - A Chinese short-video generator for AI web-novel promotion clips, with 9:16 storyboards, narration, subtitles, background audio, and fallback rendering. | Python FFmpeg Pillow Subtitles

Natural language prompt
        ↓
Structured intent schema
        ↓
Validation rules
        ↓
Generated artifact
        ↓
Tests, benchmarks, and real use

I am especially interested in domain-specific agents: tools that can reject bad prompts, ask for missing constraints, produce structured outputs, and verify their own results.

Languages
Python · Java · C++ · JavaScript · HTML/CSS

AI / Automation
OCR · Selenium · FastAPI · Tkinter · OpenCV · agent tooling · workflow design

Research / Modeling
Simulation · reinforcement learning · data visualization · scientific measurement · validation rules

Engineering Habits
Clear schemas · safe defaults · reproducible examples · readable docs · testing and benchmarks

Start from a real problem.
Turn it into a structured model.
Build the smallest useful system.
Measure where it fails.
Add validation, safety, and feedback loops.
Repeat until the tool becomes actually useful.

• Website: jz-ai-chat.com
• Email: johnzhou811@gmail.com
• GitHub: @jzjzzzzzzz
• Phone: 13046621885 or 6092352723
• WeChat: Johnzhou2010