Pocket Doctor
AI-Powered Healthcare App
A future where no one waits for care—your health, your data, your doctor, always with you.
Mission:
Provide preliminary diagnosis, medicine recommendations, doctor/hospital
connectivity, and personalized health management to every user—anytime,
anywhere.
by Rupam Haldar
IIT KGP; Naval Architecture background(1st Y)
Email:rupam1.24@kgpian.iitkgp.ac.in
The Problem
1.Healthcare Access Gap
Long waits for doctor appointments, especially in Tier II/III cities.
Urban–rural divide: limited specialists in remote areas.
2.Fragmented Patient Journey
Separate apps/websites for diagnosis, booking, tests, medicine delivery.
No unified health record.
3.Rising Costs & Complexity
Patients unaware of treatment costs or best‐value providers.
Difficulty interpreting lab reports.
Our Solution
Pocket Doctor – a one-stop AI healthcare assistant that offers:
AI Symptom Diagnosis & Triage
Medicine Recommendations & Interaction Checks
Real-Time Doctor & Hospital Booking
Virtual Consultations (Chat/Voice/3D Video)
Health Data Management & Smart Alerts
Family Health Tree & Personalized Tips
Core Features
Module Key Capabilities
AI Chatbot Diagnosis Follow-up Qs, medical naming, printable prescription
Medicine & Pharmacy Cost display, home delivery, subscription plans
Doctor/Hospital Connectivity Availability, real-time tracking, online room/ambulance
Health Data & Analytics ECG/lab upload, digital health twin, outbreak radar
Personalization & Localization Multi-language support, family profiles, AI diet planner
Technology Stack
Frontend (Cross-Platform & Responsive)
Mobile App:
Flutter – for fast, natively compiled apps from a single codebase (Android & iOS).
React Native (alternative) – for a flexible UI and rich community support
Web App:
React.js – responsive design with reusable component structure for hospital dashboards, admin
panels, and web users.
Backend (API-Driven, Scalable, Secure)
Node.js (primary) – asynchronous, event-driven architecture ideal for real-time user interactions like chat, booking,
and notifications.
Flask (Python) – used for AI microservices and REST APIs with lightweight deployment.
Database:
MongoDB – for flexible schema, ideal for storing health records, symptom logs, and chatbot conversations.
PostgreSQL – relational storage for billing, user profiles, and hospital data with transactional integrity.
AI/ML Components (Core Intelligence Layer)
NLP & Diagnosis Chatbot:
OpenAI GPT APIs for contextual understanding, conversation flow, and dynamic medical Q&A.
Facial Analysis:
OpenCV + CNN Models to detect signs of stress, sleep issues, or illness through camera input.
Voice Diagnosis:
Voice-to-spectrogram conversion with custom ML models (CNN/RNN) trained to identify coughs,
breath sounds, or vocal tone patterns indicative of illness.
Cloud Infrastructure & DevOps
Hosting & Cloud Compute:
AWS or Google Cloud Platform (GCP) – scalable compute, storage, and managed services (S3, Firebase,
Lambda).
Containerization:
Docker – for portable microservices, enabling fast deployment and environment consistency.
CI/CD Pipelines:
Automated testing, linting, and deployment via GitHub Actions or GitLab CI/CD.
Security Compliance:
Fully aligned with HIPAA, NDHM (India’s National Digital Health Mission), and GDPR standards.
Data encryption (TLS, AES-256), secure authentication (JWT/OAuth2), and role-based access control
Third-Party Integrations (Ecosystem Connectivity)
Payments: Razorpay / Stripe for secure transactions (subscriptions, doctor fees).
Hospital APIs: Real-time booking, doctor availability, patient status.
Video Conferencing: Jitsi/Agora for HIPAA-compliant virtual consultations.
GPS & Mapping: Google Maps API for locating nearby clinics, ambulances.
Courier Services: Integration with medicine delivery platforms like Dunzo/Shiprocket.
Market Opportunity
Global Digital Health:
– $211 B in 2022 → $600 B by 2030 (CAGR ~15%)
India Telemedicine:
– Rapid smartphone penetration; government push (Ayushman Bharat Digital Mission)
– Large urban–rural treatment gap yields high user demand
TAM/SAM/SOM:
– TAM: 900 M+ mobile users in India
– SAM: 150 M urban & semi-urban health-tech users
– SOM: 10 M freemium users in first 2 years
Business Model
1.Freemium:
– Basic AI diagnosis & tips: Free
2. Premium subscription (₹499/mo): Virtual consults, priority support
3.Commission:
– Pharmacies, labs, ambulance, hospitals
4.B2B SaaS:
White-label platform for hospitals (patient management, doctor tracking)
5.Ads & Partnerships:
6. Sponsored listings for clinics, device makers
Go-to-Market Strategy
Digital Channels: Social media ads, influencer partnerships, SEO/ASO
On-Ground: College health camps, tie-ups with clinics & labs
Referral & Virality: In-app rewards, family-plan discounts
Strategic Alliances: Insurance providers, government rural health schemes
Competitive Landscape
Practo
✅ Strengths:
Large user base
Strong doctor appointment booking system
🚀 Pocket Doctor Advantages:
AI-driven symptom triage
Voice and facial recognition for illness detection
Digital Health Twin for predictive care
Tata 1mg
✅ Strengths:
Established pharmacy and diagnostic service
Strong e-commerce presence in medicine delivery
🚀 Pocket Doctor Advantages:
Real-time doctor and hospital availability tracking
Medicine interaction checker with cost transparency
Seamless integration of diagnosis, consults, and delivery
mfine
✅ Strengths:
Smooth virtual doctor consultations
Growing network of partnered doctors
🚀 Pocket Doctor Advantages:
End-to-end care journey: symptom → diagnosis → booking → medicine
Multi-language support
Family Medical Tree and personalized AI-driven health tips
Apollo 24|7
✅ Strengths:
Wide hospital network backed by Apollo
Access to in-house specialists
🚀 Pocket Doctor Advantages:
Neutral marketplace across hospitals (not tied to a single chain)
Disease Outbreak Radar for community health awareness
Personalized health alerts, AI diet planner, and remote monitoring tools
Traction & Milestones
Tentative
MVP Development: Completed AI chatbot + booking flow
Pilot Launch: Partnered with 2 clinics in Kolkata (Q2 2025)
User Feedback: 200 trial users; 85% satisfaction on diagnosis accuracy
Next Milestones:
Q3 2025: Integrate lab-report AI analysis
Q4 2025: Mobile App Store launch + B2B SaaS beta
Q1 2026: 50 K freemium users, 2 K paying subscribers
Financial Projections
Tentative
Year Revenue (₹ lakhs) Expenses (₹ lakhs) EBITDA (₹ lakhs)
Year 1 20 50 –30
Year 2 80 60 20
Year 3 200 90 110
Break-Even: End of Year 2
Seed Funding Required: ₹50 lakhs for development, marketing, team expansion
Team
Rupam Haldar – Founder & CEO (IIT KGP; AI/ML & Naval Architecture
background)
CTO (TBD) – Full-stack & DevOps expert
Medical Lead – Licensed physician with telemedicine experience
Head of Growth – Digital marketing & partnerships specialist
Advisors: Legal/compliance counsel, healthcare operations experts
Funding Ask
₹50 lakhs Seed Round in exchange for 15% equity
40% Product development & AI R&D
30% Marketing & user acquisition
20% Operations & partnerships
10% Legal, compliance, contingency
Use of Funds:
Finalize mobile apps, expand B2B pilot
Onboard 5 K premium subscribers by Q4 2025
Establish 10+ hospital partnerships
Thank You
