Inspiration
GateGroup prepares thousands of catering trolleys for airlines every day. Weather changes and flight delays often cause mistakes and food waste. Smart Gate helps employees make better, faster decisions using data and automation.
What it does
Smart Gate is an AI-powered system that improves airline catering logistics. Main features:
Flight reliability prediction — calculates risk based on weather and schedule.
Bottle level detection (simulated) — decides when to reuse or discard.
Trolley layout check — compares photos with the correct setup.
Automatic meal reassignment — moves food from canceled flights to others of the same airline.
Employee dashboard — tracks efficiency and errors visually.
How we built it
Frontend: React + TailwindCSS
Backend: FastAPI (Python)
Database: SQLite
AI simulation: YOLOv8 + SSIM Runs fully offline for easy demos and reliability.
Challenges
Different catering rules per airline
Realistic simulation without live data
Designing a simple UX for non-technical users
Accomplishments
Working offline demo simulating real GateGroup operations
Intelligent system that reduces waste
Easy and intuitive interface for real employees
What we learned
Automation can empower workers, not replace them. We learned about computer vision, user-centered design, and flexible data systems.
What’s next
Connect to live GateGroup and weather APIs
Add RFID or barcode tracking
Deploy on tablets or smart glasses
Predict and reduce food waste globally
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