Mobile Health · Hackathon

Draculin

Walk through Draculin: a Flutter + Django health-tracking app with an AI chatbot and computer vision assistance. BitsXLaMarató 2023 finalist.

Frontend Code (GitHub) Backend Code (GitHub)
Interactive demo of the Draculin health app. Start the backend (cd Draculin-Backend && docker compose up -d) for live chat and news.

About this project

Draculin was developed for the BitsXLaMarató 2023 hackathon, where it reached the finals. The app uses a Google LLM-powered chatbot for health guidance and computer vision to analyze images for menstrual health tracking. The frontend is built with Flutter (supporting iOS, Android, and web), while the backend runs on Django with image inference capabilities.

Previous Bachelor's Thesis — Polyp Detection Bachelor's thesis on detecting polyps in colonoscopy images with deep learning, using CycleGAN and SPADE to generate synthetic training data when real labels were scarce.
  • PyTorch
  • CycleGAN
  • Object Detection
  • UPC
 Next BitsXLaMarató — Aorta BitsXLaMarató 2022 winner: a tool to segment the aorta in ultrasound videos with Mask R-CNN and reconstruct it in 3D to help detect aneurysms.
  • PyTorch
  • OpenCV
  • 3D
  • CV

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