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Project Description

A healthcare-focused tech startup, Doctor AI Assistant committed to improving doctor-patient interactions sought an AI-powered assistant to enhance consultation efficiency. With a vision to simplify clinical decisions, the client approached Oodles to build a scalable, intelligent platform that supports real-time queries and medical insights. 

Scope Of Work

The client needed a responsive, AI-based assistant that could interpret doctor queries, retrieve patient-relevant data, and provide real-time suggestions. The project focused on natural language processing, medical data integration, and intuitive front-end experience. Core areas included AI model integration, back-end API development, and cross-platform front-end interface to support smarter doctor workflows.

Our Solution

The solution was deployed with a clear architectural split between the backend and frontend, ensuring rapid development, easy deployment, and reliable performance across platforms.

Key Features and Highlights:

  • Conversational AI for Doctors: Enabled doctors to ask questions in natural language and receive relevant insights based on patient data.
  • Streamlined Frontend Interface: React and Node.js were used to build a responsive UI for faster and intuitive access.
  • Modular Backend Integration: FastAPI handled the business logic and connected AI models to the front end through clean APIs.
  • Environment Config Support: .env supports streamlined secure and scalable deployments.
  • Quick Setup and Testing: Developers could run the client and server separately with unique commands.

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