Predict Heat Stress
Before It Hits You
An active AI-powered system combining climate data, physiological monitoring, and vision intelligence to protect you from extreme heat conditions.
Multi-Modal Data Fusion
We don't just check the weather. Our system analyzes four different vectors of your context.
Environmental Intelligence
Real-time analysis of temperature, humidity, AQI, and UV index based on your exact location.
Physiological Monitoring
Evaluates your core body temperature and heart rate to determine internal stress levels.
Face Stress Detection
Uses Deep Learning & OpenCV to analyze facial signs of exhaustion, dehydration, and fatigue.
AI Decision Engine
Synthesizes all modal inputs through a unified algorithm to deliver a personalized risk score.
How Ignivis Work Flow Integrates
Five simple steps to get a comprehensive, medical-grade estimation of your immediate heat stress risk profile.
01Input Data
Share your age, gender, and recent lifestyle habits.
02Scan Environment
Auto-detect location for granular weather algorithms.
03Analyze Physiology
Input heart rate & body temp markers.
04Detect Facial Stress
A brief webcam scan for optical exhaustion signs.
05Generate Intelligence
Receive immediate predictions & action plans.
Powered by Advanced Tech
FastAPI
High-Performance Backend
OpenCV
Computer Vision
Deep Learning
Neural Networks
Random Forest
Environment Models
Next.js 15
React Architecture
Tailwind v4
Styling Engine
Trusted by Professionals
"Ignivis completely bridges the gap between environmental monitoring and actual human physiological response. It's an indispensable early-warning tool for outdoor workers."
Dr. Elena Rostova
Occupational Health Specialist
"I use this system before my intense summer training sessions. The facial stress scan picked up on my exhaustion markers before I even consciously felt symptoms. Incredible tech."
Marcus Chen
Marathon Athlete
"The action plans generated are highly specific and immediate. We've integrated Ignivis as a mandatory check for our construction operators during heatwaves."
Sarah Jenkins
Site Safety Manager
"Combining localized hyper-granular weather APIs directly with biometric inputs is exactly the direction proactive predictive health needs to go."
Dr. James Aris
Climate Researcher