Livora AI

Livora AI is an AI-powered liver and metabolic health intelligence platform that helps users detect risks early, understand medical reports and ultrasound reports, and track through Liver Health Score

Comment

What it does

Livora AI is an AI-powered liver and metabolic health platform that analyze blood reports and liver ultrasound images, generates a personalised Liver Health Score, explains medical reports in simple language, provides personalised health insights and lifestyle recommendations, tracks health progress over time, and offers an AI chatbot for health-related guidance.

How we built it

  • Frontend: React.native (Expo)
  • Backend API: Python 3.12, Flask, REST APIs
  • Production Server: Gunicorn
  • Database: Neon PostgreSQL with psycopg2
  • Authentication: JWT access/refresh tokens and Argon2id password hashing
  • Report Processing: PyMuPDF, Tesseract OCR, pdf2image
  • AI Analysis & Insights: Fireworks AI using OpenAI GPT-OSS-120B
  • AI Health Assistant: Groq using Llama 3.3 70B
  • Ultrasound ML: TensorFlow/Keras with OpenCV preprocessing
  • Private Report Storage: Cloudflare R2 with signed document links
  • Deployment: Docker on Render

Challenges we ran into

  • Integrating the frontend with the backend.
  • Designing a reliable and meaningful Liver Health Score.
  • Making the chatbot understand patient history to provide personalised and trustworthy responses.
  • Combining medical reports, imaging, and patient data into one seamless workflow.
  • Made the timeline for each patient giving the context to AI to make it accurate as much as possible.

Accomplishments that we're proud of

  • Built a complete end-to-end AI healthcare platform.
  • Integrated AI-powered report analysis and ultrasound image detection.
  • Developed a reliable personalised Liver Health Score.
  • Created a health timeline to monitor progress and report history.
  • Delivered personalised health insights and recommendations through an intelligent chatbot.
  • Built fully end to end encrypted pipeline to ensure security of users data and personal details.

What we learned

  • Building scalable AI-powered healthcare applications.
  • Full-stack development with REST APIs and React.
  • Machine learning and medical AI integration.
  • Prompt engineering and AI model integration.
  • Team collaboration and agile development.
  • The importance of building accurate, secure, and trustworthy healthcare solutions.

What's next for Livora AI

  • Expand beyond liver health into broader metabolic health monitoring.
  • Introduce predictive health forecasting and smarter AI coaching.
  • Enhance the personalised Liver Twin™ health model.
  • Partner with healthcare providers and diagnostic laboratories.
  • Scale Livora AI into a comprehensive preventive healthcare platform.

Built With

Share this project:

Updates