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Mapping the Future of Cardiovascular Risk
Smart Ripeness Detection Powered by Deep Learning
Deep Learning Based Cucumber Leaf Disease Detection uses AI to identify plant diseases early from leaf images, helping farmers protect crops and improve productivity.
Aegis AI is an enterprise risk intelligence platform that helps institutions detect emerging threats early and turn fragmented signals into accountable, time bound action plans with human oversight.
"Sentiment-Driven Volatility Forecasting"
EcoAir: Auditing the invisible cost of every breath. I built a Python app using Streamlit and APIs to turn AQI into real-world audits: lung damage, city decay, and GDP loss.
A live image/picture/webcam editor with timeline features leveraging OpenCV for effects
TrashCam is an AI-powered waste classification system that uses computer vision to detect objects and instantly decide whether they belong in trash, compost, or landfill.
V-Ident: Pulse + pixels = proof. On-device heartbeat detection & frequency forensics catch deepfakes. ZK-proofs verify live humans in 8 sec — zero biometrics stored. Fakes can't bleed.
AI-powered cardiovascular risk intelligence platform that predicts, explains, and acts — with 15 health modules, specialist booking, live ECG monitoring, and one-click clinical documents.
Smart wearable intelligence for early stroke risk detection
"NeuroScan AI: 45 Minutes of Diagnostic Fatigue, Solved in 3 Seconds of Automated Precision."
Cardio-Lens: Democratizing heart health. Our interpretable AI screens populations and diagnoses patients, turning complex data into life-saving actions
AI-driven print enhancement that improves clarity, reduces ink usage, and upgrades budget printers instantly.
IndustrialReporter V1 The definitive industrial engine that forces massive data streams into Absolute Coherence. Eliminating error through 8-axis geometric alignment and pure mathematical necessity.
