SabiDoc AI

Inspiration

Healthcare professionals spend a significant portion of their day documenting patient visits, often reducing the time available for direct patient care. We wanted to build an AI assistant that automates clinical documentation while maintaining organized, accurate, and structured medical records.

What it does

SabiDoc AI is an intelligent medical documentation assistant designed for healthcare professionals.

It helps clinicians by:

Recording doctor-patient conversations Converting speech into text Generating structured clinical notes Creating patient summaries Extracting diagnoses and treatment plans Organizing visit documentation Reducing administrative workload

Instead of spending valuable time writing notes, clinicians can focus on delivering quality care.

How we built it

SabiDoc AI was built using:

Next.js TypeScript Tailwind CSS OpenAI API Speech-to-Text AI Vercel

The AI processes conversations, extracts important medical information, and formats it into structured clinical documentation suitable for healthcare workflows.

Challenges we ran into

Designing accurate medical note generation. Organizing AI outputs into clinical formats. Creating an intuitive interface for healthcare professionals. Ensuring generated summaries remain concise and useful.

Accomplishments that we're proud of

Built an AI-powered healthcare documentation assistant. Reduced manual note-taking through AI automation. Created structured medical summaries. Demonstrated how AI can improve clinical productivity.

What we learned

This project deepened our understanding of healthcare workflows, AI-powered documentation, speech processing, and how artificial intelligence can reduce administrative burden in clinical environments.

What's next for SabiDoc AI

Built With

• ai
• api
• css
• next.js
• openai
• speech-to-text
• tailwind
• typescript
• vercel