CareLine AI

LiveKit-Based Voice Orchestration

Built real-time voice interaction on LiveKit Agents, handling the full telephony session lifecycle including SIP integration and Twilio connectivity. The system manages concurrent patient calls without blocking, with WebSocket-based communication between voice, AI, and backend layers.

LangGraph Conversational Flows

Designed deterministic appointment workflows using LangGraph so the AI follows reliable, testable conversation paths for booking, rescheduling, and cancellation - rather than free-form generation that could hallucinate availability or confirmation details.

Multilingual Speech with Sarvam AI

Integrated Sarvam AI for speech-to-text and text-to-speech in Hindi and Indian English, covering the primary languages of the target patient base. The pipeline handles code-switching - patients who mix Hindi and English mid-conversation - without dropping context.

Appointment Management Backend

Built a FastAPI backend with SQLite storing patient records, appointment slots, doctor availability, and call logs. The AI verifies availability in real time during the conversation, confirms bookings, and writes back to the database before ending the call.

React Monitoring Dashboard

Delivered a clinic-facing dashboard giving staff visibility into live and completed calls, appointment outcomes, call transcripts, and system status. Staff can review AI-handled conversations and catch edge cases without listening to recordings.

Dual-Channel Support

The same appointment logic runs across both voice calls and chat interfaces. Patients who prefer text-based interaction reach the same backend flows and receive the same confirmation and rescheduling capability as phone callers.

Hospitals and Diagnostic Centers

High call-volume facilities where appointment desks handle hundreds of daily calls. The assistant reduces staff workload and eliminates hold times during peak hours.

Clinics and Specialist Practices

Smaller practices without dedicated call center staff that need reliable appointment handling without hiring additional reception personnel.

Telemedicine Providers

Platforms managing appointment scheduling across multiple doctors and time zones where consistent, automated patient communication is critical to conversion.

Healthcare Chains

Multi-location operators who need a centralized appointment automation layer that works consistently across branches and supports regional language variations.