Automate your diagnostics. Empower your clinicians. Enhance patient outcomes.
Pravaah’s AI-Based Dermatology Diagnosis & Treatment System is a comprehensive, multi-model solution that bridges the gap between advanced computer vision and clinical expertise. By combining YOLO-based detection, Generative AI, and Retrieval-Augmented Generation (RAG), we provide a seamless workflow from facial analysis to evidence-based treatment plans.
32%
More Patients Per Month
Capture more leads and increase market share by offering 24/7 self-scheduling options tailored to your specific business rules.
89%
Patient Show Rate
Boost referral completion and minimize no-shows through automated, multi-channel reminders via SMS, Email, and IVR.
Up to 50%
Reduction in Scheduling Time
Eliminate the friction of traditional booking. Our AI guides patients through a fast and intuitive search to find the right appointment in seconds.
1 Hour
Staff Training Time
Say goodbye to complex manuals. Our intuitive dashboard and automated workflows mean your team is ready to manage the system on day one.
01
Multi-Model Disease Detection
Uses specialized YOLO models to pinpoint and count affected areas in real time.
Identifies a wide spectrum of conditions, including Psoriasis, Eczema, Rosacea, Melasma, and Acne.
Moves beyond surface-level viewing to provide a detailed count of lesions and inflammatory markers.
02
Automated Skin Type Classification
The Challenge: As a traditional multidisciplinary orthopedic hospital, Polaris Healthcare needed to modernize its ten-year-old digital presence, reduce manual errors in scheduling, and improve patient engagement to grow its brand.
The Solution: Pravaah Consulting acted as the official digital transformation partner, implementing a multi-layered automation strategy.
Intelligent Appointment System: Built a flexible, automated scheduling system integrated with account management to reduce turnaround time.
Patient-Centric Application: Deployed a next-generation app to foster engagement via WhatsApp, SMS, and direct calling.
Operational Digitization: Created a custom Hospital Management System (HMS) to help staff better understand and act on patient data.
The Result:
Increased Volume: Website traffic surged from 500 to 30,000 monthly visitors.
Conversion Growth: Appointment bookings increased from 0 to approximately 100 per month.
Enhanced Engagement: Improved patient engagement directly led to increased surgery rates and a stronger brand presence.
03
Comprehensive Visual Analysis
Quantifies skin health on a 1–10 scale to track treatment progress over time.
Maps conditions across specific facial zones, such as the T-zone, cheeks, and jawline.
Incorporates age-specific evaluation and gender-specific pattern recognition for higher diagnostic accuracy.
04
SOAP-Formatted Clinical Reports
Automatically structures data into Subjective, Objective, Assessment, and Plan formats.
Generates summaries and patient-specific instructions that are ready to be exported directly to medical records.
Drastically reduces the time clinicians spend on manual transcription and formatting.
Key Features
Technology & Compliance
Programming
Language
Core Machine Learning Frameworks
Large Language Model Frameworks & Retrieval-Augmented Generation (RAG)
Agentic AI Platforms
Models and API Providers
Vector Databases
Natural Language Processing (NLP) & Computer Vision Tools
Model Fine-Tuning Tools
Data Labeling Platforms
Observability and Experiment Tracking
Deployment and Inference Tools
DevOps and Continuous Integration / Continuous Deployment (CI/CD)
Automate the Process, Support Your Staff
Whether you manage a complex health system or a bustling private practice, your staff is often overwhelmed by manual administrative tasks, patient check-ins, outreach, and intake forms.
Why waste their limited time on manual scheduling when you can automate the entire process?
Reclaim Hours: Automating the intake process allows your team to save hours every day, shifting their focus from data entry to high-value patient care.
Empowered Teams: Our software helps balance your team's day-to-day workload, reducing burnout and improving your medical scheduling system.
Enhanced Patient Experience: Engage patients throughout their entire scheduling journey with a modern, digital interface that reflects the quality of your care.
Multi-Model Integrity
Unlike single-algorithm solutions, we use an ensemble of YOLO, RAG, and Vision-Language models to ensure diagnostic depth.
Enterprise-Grade Security
We prioritize patient data privacy with HIPAA-compliant protocols and secure data synthesis.
Easy Interoperability
Designed to integrate directly into existing EMR/EHR systems with automated SOAP formatting, ensuring no disruption to your existing workflow.
Clinician-Centric Design
Our system doesn’t replace the dermatologist; it reduces administrative "noise," enabling a 50% increase in patient volume.
Why Healthcare Leaders Choose Pravaah?
Case Studies
At Pravaah Consulting, we bridge the gap between AI potential and operational reality. Our case studies demonstrate how we deploy HIPAA-compliant automation and agentic AI frameworks to solve complex industry bottlenecks. By integrating predictive analytics and bespoke machine learning models, our clients have consistently realized up to a 40% reduction in operational costs and a 60% acceleration in decision-making speed. Explore how we’ve transformed workflows across Healthcare, Logistics, and Finance to deliver sustainable, data-backed ROI.
"Pravaah’s severity scoring allows us to track treatment efficacy with mathematical precision. Our patients love seeing their 'Skin Health Score' improve at every visit."
Dr. James Patterson
Founder
"The automated SOAP reporting is the best feature I’ve seen in years. It’s concise, medically accurate, and plugs right into our existing records."
Dr. Elena Rodriguez
Lead Dermatologist
"The accuracy of the YOLO-based detection for Rosacea and Acne is staggering. It has cut my documentation time in half, allowing me to focus entirely on patient care."
Dr. Amelia Jenkins
MD, Chief of Dermatology
"The 89% patient show rate we now see is incredible. The automated, multi-channel reminders via SMS and email keep our schedule full and our patients on track."
Michael Chen
CTO
Testimonials
Frequently Asked Questions
1. How does the AI differentiate between similar-looking skin conditions?
Our system utilizes a multi-model approach. While YOLO models detect visual patterns, our Vision-Language models analyze secondary markers and location data to distinguish between conditions such as Eczema and Psoriasis with high specificity.
2. Can the system be integrated into my existing Electronic Medical Record (EMR)?
Yes, the AI generates reports in the standard SOAP format (Subjective, Objective, Assessment, Plan), making them compatible for easy copy-paste or direct API integration with most major EMR platforms.
3. Does the AI work on all skin tones and ethnicities?
Absolutely! Our models are trained on diverse datasets to ensure age-specific and gender-specific pattern recognition, providing accurate results across all Fitzpatrick skin types.
4. What is RAG, and how does it help with treatment recommendations?
RAG (Retrieval-Augmented Generation) allows the AI to "consult" a curated medical knowledge base. Instead of relying on static data, it pulls the most current, evidence-based guidelines to suggest treatment plans.
5. How does the 1–10 Severity Scoring work?
The AI analyzes the density, inflammation levels, and surface area of the affected regions to assign a numerical value. This provides an objective metric for tracking a patient's progress across multiple visits.
6. Is this system intended to replace the dermatologist's diagnosis?
No, Pravaah AI is a clinical decision support tool. It automates the detection and documentation process to provide a comprehensive "second opinion" and draft report, which the dermatologist then reviews and validates.
