Rogsutra — Healthcare AI Chatbot
AI-Powered Health Agent for Symptom Assessment, Doctor Discovery & Appointment Booking
A 24/7 AI health agent that assesses symptoms, answers medical queries, and books appointments — in Hindi and English.
Who We Built This For
Rogsutra is a healthcare AI platform designed to bridge the gap between Indian patients and quality medical guidance. The name combines "Rog" (illness in Hindi/Sanskrit) and "Sutra" (formula/principle) — reflecting its mission to provide a reliable formula for navigating health concerns. The platform serves patients across India who need accessible, trusted health information and fast access to the right care, without the barriers of long wait times, costly consultations, or limited clinic hours.
What We Set Out to Build
Access to accurate health information and timely medical care remains unequal across India. Patients in tier-2 and tier-3 cities often wait days for specialist appointments, receive conflicting information from unverified online sources, and have no easy way to know which type of doctor they should consult for a given problem. Meanwhile, hospitals and clinics spend significant time answering repetitive patient queries that do not require a doctor's attention.
Rogsutra's AI health agent changes this dynamic. Patients interact with the chatbot in Hindi or English, describe their symptoms in natural language, and receive an immediate AI-driven triage assessment — understanding severity, likely causes, and the appropriate type of specialist to consult. The agent then helps the patient discover relevant doctors or clinics and, where integrated, completes an appointment booking directly within the conversation.
Beyond symptom assessment, the chatbot handles a wide range of health queries — medication information, dosage guidance, common condition explanations, and post-visit care reminders — drawing from a curated medical knowledge base to provide verified, evidence-based answers.
The result is a platform that extends healthcare access beyond clinic hours, reduces pressure on human agents, and empowers patients with reliable guidance when they need it most.
Project Facts
Tech Stack
What Needed to Be Solved
Patients needed immediate, reliable health guidance outside clinic hours, but healthcare providers lacked the staff capacity to handle the volume of repetitive queries. At the same time, patients struggled to identify the right specialist for their symptoms, leading to wasted consultations and delayed treatment. A scalable, always-available AI layer was needed to bridge this gap.
Patients had no reliable way to assess symptom severity at home — they either ignored warning signs or overcrowded emergency departments unnecessarily
Identifying the right specialist for a given set of symptoms required navigating complex referral chains, often leading to wrong-specialist appointments and wasted time
Clinics and hospitals were overwhelmed by repetitive pre-appointment queries — medication questions, appointment rescheduling, and basic health information — consuming human agent hours
Health information available online was unreliable, often contradictory, and not adapted for the Indian patient context or local disease prevalence
Language was a barrier for a significant portion of patients who were not comfortable communicating in English with medical staff or digital platforms
Appointment booking required phone calls during office hours, leaving patients with no way to schedule consultations outside business hours or on weekends
Inside the Platform
Every module is purpose-built to replace a standalone tool — unified in one workspace.
- Natural language symptom input in Hindi or English
- AI triage with severity classification (mild / moderate / urgent)
- Probable causes listed with plain-language explanations
- Recommended specialist type based on symptom profile
- Follow-up questions to refine assessment accuracy
- Specialist recommendations matched to assessed symptoms
- Filter by location, availability, language, and fee range
- Doctor profile with qualifications, experience, and reviews
- Telemedicine vs in-person availability indicator
- Save favourite doctors for future visits
- Book appointments directly within the chat conversation
- Real-time slot availability from integrated clinic calendars
- Automated booking confirmation sent via SMS and email
- Rescheduling and cancellation handled by the AI agent
- Reminder notifications 24 hours and 1 hour before appointment
- Evidence-based answers to common health queries
- Medication information — dosage, side effects, interactions
- Condition explanations in plain, patient-friendly language
- Post-visit care reminders and prescription refill alerts
- Verified medical knowledge base updated regularly
Everything in One Workspace
NLP Symptom Assessment
Patients describe symptoms in natural language — the AI parses intent, maps to medical taxonomy, classifies severity, and provides a structured triage response with probable causes and specialist recommendations.
Bilingual Hindi & English
Full conversational support in both Hindi and English, with automatic language detection — patients switch languages mid-conversation and the agent follows seamlessly.
Specialist Matching Engine
An intelligent matching layer maps symptom profiles to the appropriate specialist type, reducing wrong-specialty appointments and improving first-consultation outcomes.
Automated Appointment Booking
The agent integrates directly with clinic booking systems to check real-time availability, complete the booking within the conversation, and send confirmation with all appointment details.
Medical Knowledge Base
A curated, regularly updated medical knowledge base answers patient queries about conditions, medications, dosage, interactions, and post-care — with verified, evidence-based responses.
Reminders & Follow-Ups
Automated appointment reminders, post-visit care plan prompts, prescription refill alerts, and follow-up check-ins delivered via SMS and in-app notifications.
Patient Data Security
All patient conversation data is encrypted in transit and at rest. Sensitive health information is handled in compliance with applicable data protection requirements.
Healthcare Provider Dashboard
A real-time dashboard for healthcare providers showing query volume, common symptoms, appointment conversion rates, and topics requiring human escalation.
How We Built It
Discovery & Patient Journey Mapping
Mapped the end-to-end patient journey from symptom onset to appointment — identifying the key decision points where an AI agent could reduce friction and provide genuine value.
Medical Knowledge Base & AI Training
Curated a medical knowledge base covering common conditions, symptoms, specialist mappings, and medication information. Fine-tuned the AI model for symptom parsing, triage logic, and safe health communication.
Bilingual NLP Development
Built the bilingual conversation layer with automatic language detection, Hindi/English NLP processing, and seamless mid-conversation language switching — handling code-mixing common in Indian patient communication.
Booking Integration & Testing
Integrated with clinic booking APIs for real-time slot availability and automated confirmation. Conducted extensive testing with real patient scenarios for accuracy, safety guardrails, and edge-case handling.
Launch, Monitoring & Continuous Improvement
Deployed on AWS with monitoring for query accuracy, escalation triggers, and user satisfaction. Built a feedback loop for continuous improvement of triage accuracy and knowledge base coverage.
Full Scope of Work
Built an AI-powered symptom assessment engine that triages patient-reported symptoms, classifies severity, and maps to appropriate specialist types using a curated medical taxonomy
Developed a bilingual conversational interface supporting Hindi and English with automatic language detection and seamless mid-conversation language switching
Integrated a curated, evidence-based medical knowledge base for answering health queries about conditions, medications, dosage, and post-care guidance
Built a specialist discovery and matching system that recommends doctors and clinics based on symptom profile, location, availability, and language preference
Implemented automated appointment booking integration with clinic calendars for real-time slot availability, in-chat booking confirmation, and SMS/email notifications
Developed automated reminder and follow-up workflows for pre-appointment notifications, post-visit care reminders, and prescription refill alerts
Implemented escalation logic to identify queries requiring human medical attention and route them to the appropriate clinic staff with full conversation context
Deployed a healthcare provider dashboard for monitoring query volumes, common symptom trends, appointment conversions, and topics requiring human escalation
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