SYSTEM 01 // PROJECTRole: FEATURED PROJECT
TriNETRA (AI-Powered Adaptive RF Intelligence) — Smart India Hackathon
Designed an AI-driven adaptive RF spectrum scan scheduler for Electronic Warfare that replaces fixed-sequence scanning with belief-state-driven intelligent prioritization of frequency bands. Built a hybrid scheduler combining Whittle Index priority ranking, sequence prediction for periodic/frequency-hopping emitters, and reinforcement learning (PPO/DQN) over a simulated RF environment. Implemented a closed-loop system that updates its belief state after every scan, improving interception probability while balancing exploration and exploitation under limited receiver bandwidth.
TechnologyPython
StackReinforcement Learning (PPO/DQN)
PlatformWhittle Index
Metric 01—Pending
Metric 02—Pending
Metric 03—Pending
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