OneHealth.AI;D

• 

  Symptom input by medical professionals

• 

  Example of input

• 

  Predicted diseases and related research paper

• 

  More research paper

• 

  Landing page

Inspiration

About at least 75% infectious diseases in human are from zoonosis, its not rare for new zoonotic pathogen to develop. But then, there is limitness about peoples about animals that can be a source of zoonotic, also lack of animals knowledge (like how to treat them, avoid them, and etc.)

What it does

It takes symptoms, additional history and any zoonosis related contact of the patient inputed by a medical professional, then predicts what diseases the patient contacts and gives out related multiple research paper based on the patient's predicted disease and symptoms.

How we built it

We used a full stack architecture which utliize Next.js and Supabase, Qwen.AI for LLM generation and deployment via Vercel.

Challenges we ran into

There is some journals or research paper that we cannot integrate into our application, we also wonder how to make a scalable app with rich features.

Accomplishments that we're proud of

We are strangers but we managed to work together in a time constraint.

What we learned

We learned how to develop an application under tight deadlines and criteria. We also learnt that each member in a team must work together to develop this application.

What's next for OneHealth.AI;D

In the future, we want to reach out more research/journal so that data will be more accurate. We want to collaborate with medical institutions or related fields to improve this application.

Built With

• next.js
• openrouter.ai
• qwen.ai
• supabase
• tailwind.css