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Publish a real-world technical problem statement for student teams and faculty mentors
Challenge Title *
Organization / Entity *
Technical Domain *
Smart Cities & IoT
AI & Machine Learning
CleanTech & Energy
Healthcare & BioTech
Robotics & Automation
FinTech & Web3
AgriTech & Food Security
Cybersecurity & Defense
Difficulty Level *
Beginner
Intermediate
Advanced
Expert
Prize / Grant / Stipend Pool
One-Line Executive Summary *
Full Problem Description & Technical Background *
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Municipal waste contamination costs urban centers over $40M annually in landfill surcharges. This challenge tasks teams with creating an edge-computed vision system (YOLOv9/TensorRT) paired with low-power LoRaWAN bin fill sensors to dynamically optimize city collection routes.
Required Core Skills (comma separated)
Recommended Technologies
Expected Outcome & Deliverables *
A fully functional working hardware/software prototype demonstrating live camera sorting, bin sensor telemetry simulation, and city dashboard dispatching.
Target Submission Deadline *
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