Team Idea
Build a web-based ML-powered RF scanning simulator with multiple frequency bands and simulated emitters transmitting at varying times. Develop a smart scheduler that learns from hits and misses to decide which band to scan next, maximizing detection rates and minimizing interception time. Include periodic and frequency-agile emitters, plus a traditional sequential scanner for comparison. Create an interactive dashboard showing the RF spectrum, live scanning activity, emitter transmissions, and scheduler decisions. Display metrics including detection probability, false alarm rate, interception rate, average interception time, prediction accuracy, and reward. Add configurable simulation parameters, real-time charts, and a training module for improving the scheduler through simulated experience. Build a functional, visually polished prototype with modular simulation, ML, and dashboard components.
Team Members
Shresth Tiwari
shresth_tiwari292
Sajag-shrivastava
sajagshrivastava67
samraddhithakre08-spec
samraddhithakre08spec316
Submission
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