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SkinSight
SkinSight Overview

Understand your skin scan in seconds

SkinSight uses computer vision to classify common skin conditions and provides clear next steps: urgency, contagious flag, self-care, and red-flags.

Start a scan Login
Confidence
Shows certainty
Urgency
Urgent / Soon / Monitor
Next steps
Self-care + red flags
SkinSight infographic placeholder
Quick note

This is a prototype and not medical advice. If you’re concerned or symptoms worsen, consult a licensed clinician.

How it works

3 steps
How it works visual

How SkinSight works

A simple flow designed for speed and clarity.

1
Capture / Upload

Use your phone camera, laptop webcam, or upload an image from gallery.

2
AI Prediction

The model classifies the most likely condition and produces probabilities.

3
Guidance

Shows urgency, contagious flag, self-care tips, and red-flags to watch.

Pro tip

For best accuracy: bright lighting, sharp focus, and fill the frame with the affected area.

Why use SkinSight?

Built for quick triage, clear communication, and private tracking.

Skin-tone themed UI
Clarity

Understand urgency and next steps without medical jargon overload.

Privacy

Each user sees only their own scan history (accounts + login).

Tracking

Filter results, compare over time, and export CSV for reporting.

SkinSight keeps your data private.

Why use SkinSight visual

🤒 23 Detectable Skin Conditions

The model is trained to classify 23 different dermatological categories.

Multi-class AI model
Acne and Rosacea Photos
Actinic Keratosis Basal Cell Carcinoma and other Malignant Lesions
Atopic Dermatitis Photos
Bullous Disease Photos
Cellulitis Impetigo and other Bacterial Infections
Eczema Photos
Exanthems and Drug Eruptions
Hair Loss Photos Alopecia and other Hair Diseases
Herpes HPV and other STDs Photos
Light Diseases and Disorders of Pigmentation
Lupus and other Connective Tissue diseases
Melanoma Skin Cancer Nevi and Moles
Nail Fungus and other Nail Disease
Poison Ivy Photos and other Contact Dermatitis
Psoriasis pictures Lichen Planus and related diseases
Scabies Lyme Disease and other Infestations and Bites
Seborrheic Keratoses and other Benign Tumors
Systemic Disease
Tinea Ringworm Candidiasis and other Fungal Infections
Urticaria Hives
Vascular Tumors
Vasculitis Photos
Warts Molluscum and other Viral Infections

Some conditions share visual similarities, which can lead to confusion between closely related classes. Performance varies per category and is shown in the evaluation section of this project.

⭐ Core Features of SkinSight

A complete AI-powered health support prototype.

Feature Overview

🔍 AI Skin Disease Detection

  • 🔸 Scan or upload a skin image
  • 🔸 Deep learning model analyzes image
  • 🔸 Identifies most likely condition from 23 classifications
  • 🔸 Provides prediction with confidence score

👤 Personal User Accounts

  • 🔸 Secure account creation
  • 🔸 Easy Login

📁 History & Progress Tracking

  • 🔸 Automatic storage of past scans
  • 🔸 Dedicated History page per user
  • 🔸 Monitor condition progression over time

📊 Health Insights & Smart Recommendations

  • 🔸 Detailed result page for each scan
  • 🔸 Indicates if medical attention is recommended
  • 🔸 Urgency level (monitor / soon / urgent)
  • 🔸 Highlights important red flags
  • 🔸 AI confidence score for transparency

🧾 Exportable Scan History (CSV)

  • 🔸 Download full scan history as CSV
  • 🔸 Offline access to records
  • 🔸 Shareable summary for consultation

📝 Exportable Pre-Diagnostic Report (CSV)

  • 🔸 Download your result as a CSV file.
  • 🔸 Can be used as a pre-diagonostic summary before visiting a dermatologist.
  • 🔸 Helps support more informed medical consultations.

Together, these features demonstrate a full AI-to-application pipeline — combining deep learning, backend engineering, and modern user experience design.