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SpotAtWork is an operator-friendly mission dashboard that displays data and insights from Spot's most recent excursions.
Private, browser-local scam triage that separates learned SMS patterns from concrete risk cues—and helps people pause, inspect, and verify independently.
Paste a suspicious SMS or email and get an instant scam verdict with plain-language reasons, in English and Pidgin.
An AI-powered platform that detects, explains, and connects MPLADS project risk signals to help authorities prioritize evidence-based verification and proactive monitoring.
Wild-Locate uses machine learning and environmental data to predict where wildlife may thrive, explain habitat suitability, and explore how changes to the landscape could affect it.
SepsisShield predicts sepsis early while independently checking whether the clinical inputs can be trusted, helping prevent confident predictions based on corrupted data.
An AI-powered platform that uses unified socio-economic data wallets to predict citizen eligibility for government-sponsored schemes, provide explainable recommendations, and simplify scheme discovery
Interactive 3D heart digital twin that maps multi-vessel coronary stenosis risk (LAD/LCX/RCA) using machine learning, real-time SHAP explainability, and "What-If" treatment simulation.
CareTrail resolves fragmented patient records across clinic silos without middlemen, trains decentralized PyTorch models via FedAvg, and guarantees consent with Merkle audit proofs.
AI-powered, human-in-the-loop payment collections assistant for PayPal invoices
With ForgeSight, 3D-printer telemetry becomes explainable AI alerts and smarter job schedules, letting operators investigate machine faults, deadlines, and waste.
Passive AI threat radar and immutable blockchain forensics for air-gapped networks.
An AI-powered 3D visualization platform that translates patient clinical metrics into dynamic, vessel-specific cardiac risk maps for enhanced clinical decision support
An educational AI prototype that predicts CAD and LAD/LCX/RCA stenosis from clinical data, with interactive 3D coronary visualization and patient-specific SHAP explanations.
Bridging the Gap Between Industry Demands and Graduate Skills Through AI-Powered Career Mapping and Personalized Learning Roadmaps.
Turning Cardiac Data into Visual Intelligence.
An AI-powered system that identifies industrial pollution hotspots using K-Means clustering to analyze air quality data and support data-driven environmental monitoring.
DropGuard uses AI to predict student dropout risk, explain contributing factors, and recommend personalized interventions to help educators support at-risk students.
PulsePlex turns clinical patient data into an interactive 3D beating heart map of coronary stenosis, with SHAP explainability, What-If therapy simulation, and virtual stenting.
An interactive 3D workspace for monitoring medical AI reliability, detecting distribution shifts, and helping human reviewers make evidence-based safety decisions.
ScamShield AI uses machine learning to detect suspicious messages and analyze risky URLs, helping users spot potential scams and stay safer online.
Gaffer uses OpenCV 5 to detect and verify formation changes in grassroots football video, then presents evidence-backed alerts for coaches to approve.
A medication safety platform that helps patients follow their prescribed schedules, helps caregivers detect adherence problems, and identifies potentially unsafe medication events for review.
PlacePilot is an AI-powered platform that predicts placement readiness, conducts adaptive mock interviews, identifies skill gaps, and creates personalized learning plans.
