🧬 Amazon Nova-Powered Metabolic Simulation Engine

Run Amazon Nova-powered hormone simulations with cortisol predictions, HbA1c projections, chained what-if scenarios, and long-term PCOS/Diabetes risk forecasting — all in real time.

Designed for PCOS, Thyroid Dysfunction, Type 2 Diabetes & Insulin Resistance Monitoring

Run My Hormone Simulation Explore How It Works

Lifestyle Simulation Output • Based on Profile Inputs

Overall Risk Score

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⚠ MEDIUM

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Metabolic

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Insulin Res.

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Sleep Score

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Diabetes Risk Elevated — Blood Sugar: 210 mg/dL

Immediate Lifestyle Intervention Recommended

Live Simulation
Amazon Nova Model Running
🐍 Interactive Health Game

Can You Eat Healthy?

Play Healthy Snake — guide your snake to eat nutritious foods, avoid junk food, and survive.

🎮 How to Play

  • 1 Select your gender and character body type
  • 2 Use Arrow keys or WASD to move
  • 3 Eat healthy food to grow your snake
  • ✗ Avoid junk food — 3 strikes and you're out!

🧠 Did You Know?

  • ▸ Processed food can spike insulin levels by up to 300%
  • ▸ A balanced diet reduces PCOS symptoms by 40%
  • ▸ Leafy greens boost thyroid function naturally
  • ▸ Regular healthy eating lowers metabolic syndrome risk by 50%

Swipe to move on mobile • 3 junk food strikes = death

🧠 Amazon Nova-Powered Health Intelligence

The Most Advanced Hormone Simulation Engine Ever Built

12 powerful Amazon Nova-driven capabilities — from real-time hormone prediction to long-term disease risk projection — all powered by Amazon Bedrock.

🧬

Metabolic Digital Twin

Constructs a real-time physiological model of insulin sensitivity, glucose metabolism, and hormonal balance — your virtual health replica.

New
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Hormone Prediction Engine

Predicts cortisol curves, androgen levels, menstrual cycle regularity, and HbA1c trajectories using Amazon Nova-driven physiological modeling.

Cortisol Androgen Cycle HbA1c
New
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Long-Term Health Projections

Projects PCOS progression, diabetes complications, thyroid dysfunction trajectories, and fertility outlook over months and years.

PCOS Diabetes Thyroid Fertility
New
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Chained What-If Simulations

Chain multiple simulations together — see how changing sleep after adjusting diet compounds your metabolic outcomes over time.

New
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Side-by-Side Comparison

Compare up to 5 simulations side-by-side — visualize how different lifestyle scenarios stack up against each other in risk outcomes.

New
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Amazon Nova Food Intelligence

Glycemic load analysis with Amazon Nova-powered natural language meal parsing — just type "2 rotis with dal" and get instant metabolic impact.

GL Scoring NLP Parsing Temporal
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PCOS & Diabetes Risk Analysis

Forecasts insulin resistance progression and Type 2 Diabetes probability through hormonal response mapping with cached risk scores.

New
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Real-Time Adaptive Alerts

WebSocket-powered live alerts that broadcast when risk thresholds are breached — with adaptive thresholds that learn from your history.

New
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RAG Knowledge Engine

Tree-based retrieval-augmented generation for medical Q&A — hierarchical keyword-scored traversal with logarithmic confidence scoring.

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Amazon Nova Risk Assessment Engine

Translates simulated metabolic outcomes into clinically relevant health risk levels with field-level caching for lightning-fast responses.

New
🛡️

Amazon Nova Guardrail Protection

14-pattern prompt injection detection shields every Amazon Nova interaction — blocking jailbreak attempts, role manipulation, and data exfiltration.

New
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Redis Performance Engine

Intelligent caching layer for risk scores, food lookups, RAG results, and prediction data — sub-millisecond response times at scale.

� Clinical Partnership

Empower Your Practice With Amazon Nova-Driven Endocrinology

Join the HormoneLens network to integrate predictive metabolic simulations into your clinical workflow, enhancing care for PCOS and Insulin Resistance.

Doctor Onboarding
Join our Clinical Network
🔬 Clinical Risk Parameter Mapping

Dynamic Health Condition Tracking

Extensible to any number of conditions — each with custom fields, validation rules, and risk scoring.

🩸

Type-2 Diabetes

11 tracked fields

Average Blood Sugar (mg/dL) Family History of Diabetes Frequent Urination Excessive Thirst
HbA1c Level Fasting Plasma Glucose Postprandial Glucose BMI Insulin Sensitivity Index Daily Carbohydrate Intake Waist–Hip Ratio Blood Pressure Lipid Profile Family History
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PCOD / PCOS

12 tracked fields

Menstrual Cycle Regularity Average Cycle Length (days) Excess Facial/Body Hair (Hirsutism) Acne / Oily Skin
Menstrual Irregularity Hirsutism Score Serum Testosterone LH/FSH Ratio Ovulation Frequency Weight Gain Pattern Insulin Resistance Acne Severity Sleep Duration Hair Loss
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Thyroid Disorders

11 tracked fields

TSH Level (mIU/L) T4 Level (µg/dL) Type of Thyroid Condition Currently on Thyroid Medication
TSH Level Free T3 Free T4 Thyroid Antibodies Medication Status Fatigue Level Cold Sensitivity Heart Rate Weight Fluctuation Metabolic Rate
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Metabolic Syndrome

9 tracked fields

Waist Circumference (cm) Fasting Blood Sugar (mg/dL) Systolic Blood Pressure (mmHg) Diastolic Blood Pressure (mmHg)
Waist Circumference HDL Cholesterol LDL Cholesterol Triglycerides Blood Pressure Fasting Glucose Insulin Level BMI Sleep Duration Dietary Fat Intake
♻️ Continuous Amazon Nova Simulation Cycle

How It Works

See Your Health Before You Live It!

01

Create Profile

Weight, sleep, stress & activity.

02

Add Disease Data

Blood sugar, hormones & symptoms.

03

Generate Digital Twin

6 health scores with risk category.

04

Simulate Lifestyle Impact

What-if food, sleep & stress scenarios.

☁️ Enterprise AWS Cloud Infrastructure

Built on the Cloud That Powers the World

HormoneLens AI is proudly powered by Amazon Web Services — the world's most trusted cloud. Every simulation, every Amazon Nova inference, every data point runs on battle-tested AWS infrastructure designed for healthcare-grade reliability and scale.

🤖

Amazon Bedrock

Core Amazon Nova Engine

Powers the heart of HormoneLens — Amazon Nova-driven hormone simulations, RAG-based health Q&A, and intelligent risk predictions via foundation models including Claude & Titan.

Claude Models RAG Knowledge Base Amazon Nova Inference
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Amazon EC2

Compute Layer

Scalable virtual compute instances run the Laravel application server, processing thousands of metabolic simulations with low-latency response times.

Auto Scaling High Availability Load Balanced
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Amazon RDS

Managed Database

Fully managed MySQL database stores health profiles, simulation history, and digital twin data with automated backups and multi-AZ failover.

Multi-AZ Auto Backups Encryption
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Amazon S3

Object Storage

Stores the RAG knowledge base documents, medical research embeddings, and simulation reports with 99.999999999% durability.

RAG Documents 11 Nines Durability Versioned
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Amazon Nova Pro

Amazon Nova Multimodal

Powers advanced hormone simulation reasoning and health Q&A via Amazon Bedrock — delivering fast, accurate, multimodal Amazon Nova inference for complex metabolic predictions.

Text & Vision Low Latency Bedrock Native
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AWS IAM & Security

Zero-Trust Security

Fine-grained IAM roles, encrypted health data in transit and at rest, VPC isolation, and security groups ensuring HIPAA-aligned data protection.

IAM Roles VPC Isolation KMS Encryption

Powered by

Amazon Web Services

AI for Bharat Hackathon

🚀

Deployed via

Cloudpanzer

One-click GitHub Deployments

Proudly built for the AI for Bharat hackathon in partnership with AWS — democratizing Amazon Nova-driven preventive healthcare for India and beyond.

The People Behind It

Meet the Team

A passionate group of engineers and innovators building Amazon Nova-powered preventive healthcare for the world.

Ravdeep Singh

Ravdeep Singh

Team Leader

Founder of UBXTY Unboxing Technology and a software engineer with 10+ years of experience in web, mobile, and cloud development. Leads the vision, planning, and technical implementation with deep expertise in Laravel, Flutter, and scalable product architecture.

LinkedIn
Jinia Chhabra

Jinia Chhabra

Development & Documentation

Intern at UBXTY Unboxing Technology. Contributes to development, documentation, media preparation, and presentation design — bridging the gap between technical ideas and clear communication.

LinkedIn
Vansh Sethi

Sahil Sethi

Testing & Quality Assurance

Intern at UBXTY Unboxing Technology . Focuses on testing and quality assurance to ensure the platform works smoothly and delivers a reliable, bug-free user experience.

LinkedIn