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  These are the ai doctor agent available

Inspiration

I noticed that many people tend to avoid going to the hospital, often out of fear, inconvenience, or neglect. Unfortunately, this can sometimes lead to serious health complications. I wanted to create a tool that encourages people to check their health early and easily.

What it does

DocTalk is an interactive health assistant that helps users get quick insights about their symptoms and general health. While it is not a replacement for professional doctors, it provides accessible information and guidance to encourage users to seek proper medical care when necessary.

How I built it

I built DocTalk using Next.js for the frontend, combined with voice models from Vapi to create a natural, interactive experience. By leveraging API calls with pre-prompting techniques, the AI is able to deliver accurate and conversational responses. For backend needs, I used PostgreSQL to store data and Clerk for authentication.

Challenges I ran into

Working with voice models was a challenge, especially making them feel smooth and truly interactive. Learning how to integrate and fine-tune these models while keeping the user experience simple took a lot of trial and error.

Accomplishments I’m proud of

I’m proud to have built a simple yet effective app that lets users engage naturally with an AI about their health. Seeing it come together as a functioning, interactive tool was a big milestone.

What I learned

Through this project, I learned how to integrate APIs, work with voice models, and combine different technologies to create a seamless user experience.

What’s next for DocTalk

I plan to expand DocTalk by adding support for more local languages, making it accessible to a wider audience. I also want to enhance it with better medical training data to improve accuracy and reliability.

Built With

• clerk
• nextjs
• postgress
• tailwind
• typescript
• vapi