Overview

A secure AI-powered document workspace built for doctors to create, manage, compare, and collaborate on patient reports across multiple consultations.

The Problem

When patients consult multiple doctors in a day, the same medical context is repeated several times. Doctors also spend significant time reviewing scattered previous reports, making documentation slow and inefficient.

Challenges

• Managing confidential medical documents securely
• Context-aware QA over current and historical reports
• Schema-free structured extraction from unstructured text
• Real-time collaborative editing workflows
• Multi-language clinical document translation
• Low-latency AI interactions for doctor workflows

The Solution

Developed an AI-powered rich-text document editor that helps doctors create, edit, compare, and analyze patient reports using intelligent LLM-powered workflows.

Key Features

• Multi-format patient document editing
• Report summarization
• Clinical question answering from current and historical records
• Automatic text-to-table conversion without fixed schema
• Translation support for 22 languages
• Collaborative editing for multiple doctors
• Speech-to-text documentation
• Rich-text formatting tools
• Full-document and selective text translation

Model Stack

• Translation: Sarvam AI
• Question Answering: Meta LLaMA
• Summarization: BERT, Meta LLaMA
• Text-to-Table: Meta LLaMA, Mistral AI Mistral

Final Outcome

• Reduced repetitive patient-doctor communication
• Faster report creation and review workflows
• Improved multi-doctor collaboration
• Better accessibility for multilingual patients
• More efficient document intelligence pipelines

Tech Stack

• Frontend: Next.js, Tailwind CSS
• Backend: FastAPI, PyTorch, Hugging Face
• Languages: JavaScript, Python
• Database: MongoDB
• Caching: Redis
• DevOps: Docker