Clean & Green Technology
Browse and strategize across all 2 official problem statements for Clean & Green Technology. Complete with verified datasets, tech stack blueprints, and jury defense playbooks.
Problem Statements List (2)
Match My TeamExplainable AI for Diabetic Retinopathy Screening in Rural India
Diabetic Retinopathy (DR) causes irreversible blindness in millions of rural Indians, yet primary health centers lack ophthalmologists and deep learning screening models are rejected by doctors due to opaque 'black-box' predictions. Build a clinical-grade Explainable AI (XAI) screening platform for rural India that detects DR severity (Normal to Proliferative DR) from fundus camera images and highlights microaneurysms, hemorrhages, and hard exudates using Grad-CAM and anatomical feature overlays.
Smart Scan strategy for Electronic Warfare
In modern contested electromagnetic battlefields, enemy radars constantly change pulse repetition frequencies (PRF), beam scanning patterns, and frequency-hopping sequences to evade detection, while conventional wideband Electronic Warfare (EW) receivers suffer from blind spots and high search latency. Build an AI-driven Smart Scan Strategy and cognitive radar interception platform for DRDO that uses Reinforcement Learning and Bayesian search to dynamically optimize receiver dwell times, anticipate agile radar sweeps, and maximize probability of intercept (POI).