AI · Case Study 04/09

WhatsApp AI Healthcare CRM

An AI-enabled CRM where leads and patients talk to a clinic on WhatsApp. An LLM detects intent, answers from a reusable knowledge base, and hands complex cases to staff, all tracked on role-based dashboards.

My roleBuilt the AI layer, knowledge base and dashboards
ClientConfidential · walkthrough available on a call
WhatsApp APIOpenAIGeminiNode.jsRBAC
InboxLeadsKnowledgeAgentsReports
Conversations
New leads57
AI-answered81%
Handovers9
Patient chat

Illustrative interface with sample data; a project walkthrough is available on request.

What I Built

  • LLM intent detection on WhatsApp messages
  • Reusable knowledge-base answers
  • Human handover for complex cases
  • Lead and patient pipeline
  • Operational dashboards with RBAC

Why It Matters

Clinics answer every enquiry instantly, day or night, without losing the human touch.

Tech Stack

WhatsApp APIOpenAIGeminiNode.jsRBAC
Chat with me
Recruiter Brief

Harika Behara

ROLE
Senior Full-Stack Product Engineer · AI / LLM · WordPress
EXPERIENCE
7+ years · EdTech founder (2019–22) · 50+ client projects
STACK
React, Node.js, FastAPI, PHP, WordPress, OpenAI, JavaScript, Tailwind CSS, Express, Python, PostgreSQL, MySQL
BUILT
HR SaaS, AI Résumé Engine, Medicine Delivery, WhatsApp AI CRM
ALSO
Co-founder & writer, H View
AVAILABLE
Available now · Remote worldwide
CONTACT
harikabehara247@gmail.com · +91 77020 60528