Evidence-Based · 13 Clinical Factors · Peer-Reviewed Weights

HairSense AI

Clinically-calibrated hair fall risk assessment powered by
Genetic Algorithm + Logistic Regression & your choice of AI
Built by Divyanshu Rai (Harmless_B0T)

0% Accuracy
0 Features
0 AUC Score
0 AI Providers
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Genetic Factors

Family history & hormonal sensitivity modeled from NIH AOR data

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7 AI Providers

Groq, Gemini, OpenAI, Mistral, Cohere, Together AI, HuggingFace

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Real Research

Weights from Frontiers in Medicine, Dermatology Times & PubMed 2024-25

1
Profile
2
Lifestyle
3
Hair Health
4
Medical
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Personal Profile

Basic info helps calibrate gender & age-specific risk factors

♂️Male Higher baseline risk (50% by 50)
♀️Female 25-30% lifetime risk; hormonal triggers
⚧️Other Neutral gender baseline
28 yrs
1325405580
5/10
😌 Calm😐 Moderate😰 High🤯 Extreme
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Lifestyle Factors

These modifiable habits have the highest impact on hair loss prevention

🍔Poor Fast food, processed, sugary
🍽️Average Mixed, some vegetables
🥗Good Balanced, protein-rich, antioxidants
🛋️Sedentary Desk job, minimal movement
🚶Moderate Walking, yoga, light gym
🏃Active Cardio 4+× per week, sports
7 hrs
Deprived (<6) Suboptimal Optimal (7-9) Extended
🚭Non-Smoker No tobacco use
🚬Smoker Current or recent smoker
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Hair & Scalp Health

Direct follicle environment factors with strong clinical evidence

🔥High Damage Daily heat tools, frequent coloring
💈Occasional Weekly heat, occasional treatments
🌿Minimal Air-dry, no/rare chemical treatments
🔴Poor Dandruff, itching, flaking, oiliness
🟡Average Occasional issues, mostly normal
🟢Healthy No dandruff, clean, no irritation
❌Minimal Rarely washes or conditions
🧴Basic Regular shampoo + conditioner
💆Thorough Oils, massages, hair masks, serums
⚠️Hard/Poor High mineral content, chlorinated
💧Average Regular municipal tap water
✨Filtered/Soft Filtered, soft, or low-mineral
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Medical & Genetic History

These are the highest-impact predictors. Your answers are private and never stored.

✅No Family History No close relatives with hair loss
🧬Yes — Family History Parent, sibling, grandparent affected
✅No Known Issues Normal hormone levels
⚗️Yes — Hormonal Issues Thyroid, PCOS, high DHT, postpartum
✨None No noticeable loss
⚠️Mild Slightly more than usual
🔴Significant Noticeable thinning / patches
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No AI Provider Set

You'll get smart rule-based recommendations. for personalised AI analysis (Groq, Gemini, etc.)

Risk Score

0 % —
Low <35% Moderate 35-65% High >65%
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Analysing...

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🕸️ Risk Radar — 6 Dimensions Higher = more risk in that dimension

📊 Factor Contribution Breakdown

🔬 Model Performance (GA + Logistic Regression · 13 Features)

🤖 AI-Powered Recommendations Rule-based

Generating personalised recommendations...

📚 Clinical Sources

Frontiers in Medicine — Dietary antioxidant index & AGA risk (2024) NIH/PubMed — FAGA independent risk factors, AOR analysis (2024) Dermatology Times — Stress & hair thinning OR study (2025) Su & Chen (2022) — Smoking AOR 2.6× for AGA, PubMed Koyama et al. (2016) — Scalp massage & hair thickness, PubMed
⚠️ Educational Tool Only. Not a medical diagnosis. Always consult a certified dermatologist or trichologist. Risk scores are probabilistic indicators based on population-level studies.

About HairSense AI

A research project developed by Divyanshu Rai

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Author & Developer

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ML Architecture

1 Genetic Algorithm selects optimal features from 13 candidates
2 Logistic Regression classifies risk with L2 regularisation (C=1.0)
3 Your chosen AI LLM generates personalised recommendations
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Data Sources

  • Frontiers in Medicine (2024) — Dietary AGA study
  • NIH PubMed — FAGA AOR analysis
  • Dermatology Times (2025) — Stress study
  • Su & Chen (2022) — Smoking AOR
  • Koyama et al. (2016) — Scalp massage
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Feature Importance

Supported AI Providers All Free Tier