Mar 29
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In this video, I present an AI-First Customer Relationship Management (CRM) system focused on the Healthcare Professional (HCP) module, designed from the perspective of a life sciences field representative. The demo covers the complete end-to-end architecture, including: 🔹 A React-based frontend with a Log Interaction Screen 🔹 Dual interaction modes: structured form and AI-powered conversational chat 🔹 A FastAPI backend with documented REST APIs (Swagger) 🔹 A LangGraph-based AI agent managing HCP interaction workflows 🔹 Integration with Groq LLMs (gemma2-9b-it) for summarization and intent extraction 🔹 Demonstration of five LangGraph tools, including: Log Interaction Edit Interaction Summarize Interaction Follow-up Recommendation Compliance Check The video also explains: ✔ Code flow and folder structure ✔ Frontend–backend communication ✔ How AI agents orchestrate business actions using LangGraph ✔ Key learnings and design decisions from Task 1 📌 Tech Stack: React, Redux, FastAPI, LangGraph, Groq LLMs, SQL (Postgres/MySQL), Google Inter Font GitHub Repository:https://github.com/sameer-1233/ai-first-crm-hcp This project was developed as part of an AI-First CRM assignment with a focus on real-world healthcare sales workflows.