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AEGIS runs AI end-to-end — Random Forest forecasting (AUROC 0.91), hybrid risk scoring, clustering, FAISS memory, and counterfactual simulation. Live on 15 real CIC datasets, fully deployed.
Finds where a witness’s story changed across deposition, trial, and exhibits. Verbatim quotes, page:line cites, and a suggested cross question for every contradiction.
Patient 3D twin: tap where it hurts, track live vitals, talk to a health agent. Nurses can see it live. A custom-trained sepsis risk ML model on open datasets. Biosensor design for vitals tracking.
.Lung Disease Prediction using Machine Learning analyzes patient data and medical images to predict possible lung diseases, supporting early detection and timely medical treatment.
SignalShift: See beyond the pitch! Turn startup signals into evidence backed decisions.
Protects older adults from AI scam videos: SlopShield detects AI-generated video and images in social feeds and blurs them, all on-device with no cloud.
Parametric cyclone relief escrow for Tamil Nadu fisherfolk: signed storm data in, automatic tiered payouts out, with AI early warning. No claim forms.
A regional average hid 20,000 people who lose job access when one bridge is gone. WorldSeed's simulator found them, with an AI that can only search, never invent.
FLASHCROWD(Predict and Protect): we see the crowd coming hours before it arrives, and start the servers in time.
Merge conflicts, caught before they're written. Little Brother watches any Claude Code session on your team in real time. Catch the agents before the tokens are spent.
A Philadelphia heat and cold what-if simulator for city planners, plus an iPhone app that shows residents open cooling and warming sites and sends a nearby volunteer when they need help.
Too many women wait years for a diagnosis. HerHealth lets you track your cycles, various symptoms, flags NHS warning signs and turns it all into a GP-ready PDF, so you’re heard the first time.
Enter a topic, and the machine gets its dose-response experiment and an accurate measure of it
Built for the farmers, builders, and workers who can’t afford to guess, EMBR is a low-cost wearable that spots dangerous body heat early.
We turn wearable data into actionable insights by combining heart rate, HRV, and skin temperature to detect sustained physiological changes, reduce false alarms, and explain why each change is flagged
College rankings are supposed to fit you, not them.
Glitch logs symptoms by voice, tests which triggers are real, and gives women a doctor-ready summary. A menopause companion with every claim checked against research.
Tempo predicts Britain's half-hourly power prices from the six Elexon datasets, decides when a battery should charge, discharge or hold, and then checks whether it picked the right moment.
Pismo tests if forecasts can tell home batteries to charge before NWS warnings. In Feb 2024, our Humboldt trigger fired 27 hours before the High Wind Warning.
1st place, AI4Good 2026. Private AI finds the moments TPA’s teens take the stage and use their voice; staff verify them, and youth voice time more than doubled by the showcase.
Removing names isn’t anonymity. Unmasked finds and fixes re-identification risk in student data assisted with Kiro for autonomous modeling.
Antibody engineering burns months on repeat selection rounds. RapidMat predicts enrichment from one early screen, and shows which mutations drive it. Design the next variant, not the next round.
AI-powered inspection routes that help dengue surveillance teams prioritize mosquito breeding risks within their time and budget.
A fantasy stock market for music where you trade rising artists, guided by an ML forecast, and try to beat an AI trader to the top of the leaderboard.
