ENGINEERING_MODULES
Engineering Bay
Deployable Systems & Tactical Projects
Automated CI/CD for Django using GitHub Actions with full containerization, MySQL migration workflows, and real-time monitoring integration.
PIPELINE_FLOW
Build → Test → Dockerize → Deploy → Monitor
TECH_STACK
DjangoDockerGitHub ActionsMySQLRailwayGoogle SheetsUptimeRobot
KEY_FEATURES
- ▸Automated CI/CD for Django using GitHub Actions
- ▸Containerization with Docker for consistent deployment
- ▸MySQL database migration workflows
- ▸DORA Metrics tracking via Google Sheets
- ▸Real-time monitoring via UptimeRobot
- ▸Auto-deploy to Railway on main branch
- ▸DevOps research paper in preparation
Real-time food data scanner with nutrient composition analysis, ingredient categorization, and published research contribution.
PIPELINE_FLOW
Scan → Fetch → Analyze → Categorize → Display
TECH_STACK
PythonOpenCVPyZbarRequestsTkinterWindows App
KEY_FEATURES
- ▸Barcode recognition with PyZbar
- ▸Real-time food data fetching from Open Food Facts API
- ▸Nutrient composition analysis engine
- ▸Ingredient categorization (Organic, Chemical, Other)
- ▸Windows desktop application with Tkinter GUI
- ▸Published review paper on Zenodo
- ▸DOI: 10.5281/zenodo.15615803
Intelligent automation system for fetching trending topics and generating optimized tweets with rate-limit handling.
PIPELINE_FLOW
Fetch Trends → Generate Tweets → Schedule → Publish
TECH_STACK
PythonTweepyX Developer APIScheduling
KEY_FEATURES
- ▸Trending hashtag fetching from X API
- ▸Automated tweet generation and scheduling
- ▸API rate-limit optimization and handling
- ▸Tweet scheduling system with delay management
- ▸Social trend graph analysis
- ▸Autonomous bot sequence execution