Your Dermatology Assistant

Avicenna brings patients and doctors into one connected dermatology workflow. Patients can document skin concerns, complete guided questionnaires, follow changes over time, and access learning content and chatbot support, while doctors can review cases, track patient history, and provide feedback through a dedicated web dashboard.

Avicenna mobile app login screen
Avicenna mobile app learn screen

Product preview

From patient submission to doctor-guided follow-up

The app gives patients a clear home screen for uploads, notifications, and history, together with a reports screen for doctor feedback, follow-ups, and reviewed cases.

Demo video

Explore the Avicenna

Core features

Built around the full submission lifecycle

Image capture and upload

Patients can take a new photo or upload one from the gallery, then attach it to a new or existing medical case.

Image processing support

Uploaded photos are processed to extract visual indicators and statistics that help doctors evaluate skin anomalies.

Progress monitoring

Patients and doctors can compare follow-up submissions over time to observe changes and improvements in a condition.

Doctor case management

Doctors can manage incoming cases, review computer-generated insights, approve reports, and request follow-up images.

Medical history archive

The platform keeps patient information, previous reports, submission history, and a photo archive for longitudinal care.

Patient-doctor communication

Notifications inform patients about doctor responses, report completion, updates, and follow-up requests.

Chat assistant

Patients can ask questions through an in-app chat assistant for guided support.

Learn page

The app includes skincare articles, categories, daily tips, and interactive tests to support health literacy.

Secure profiles

Patients and doctors use authenticated accounts with profile management for protected, role-based access.

Tech stack

The tools behind Avicenna

React logo React Native
Expo logo Expo
Django logo Django
AWS logo AWS
Gemini logo Gemini
Python logo Python
PyTorch logo PyTorch

Project team

Abdullah Durum Abdullah Durum Team Member
Yağmur Yavuz Yağmur Yavuz Team Member
Zeynep Demirbaş Zeynep Demirbaş Team Member
Çağla Betül Çam Çağla Betül Çam Team Member
Celal Cankut Aldemir Celal Cankut Aldemir Team Member
Fatoş Tunay Yarman Vural Fatoş Tunay Yarman Vural Supervisor