Dermetric
Dermetric is a skin disease diagnostic tool powered by computer vision and a mobile application. So far, Dermetric has implemented a TensorFlow-based machine learning model for classification of various skin disorders, along with backend functionalities like model integration and image input, complemented by a designed Figma wireframe for the user interface.
Explore Our Project
Check out our GitHub repository and official website to learn more about Dermetric:
Team Members
Machine Learning Engineer: Advik Sundar
Machine Learning Engineer: Aniket Gupta
Machine Learning Engineer: Arnav Chopra
Machine Learning Engineer: Arjun Kumar
Full Stack Engineer: Carine Harb
Full Stack Engineer: Cashel Fitzgerald
Full Stack Engineer: David Pekar
Full Stack Engineer: James Liu
Full Stack Engineer: Pranav Tonpe
Project Manager: Laksh Nagpal
Machine Learning Engineer: Minjae Cho
Our Technology Stack
Python
Core language for data processing and ML algorithms.
AWS
Cloud infrastructure for scalability and deployment.
React.js
Framework for building the user interface.
Kaggle
Platform for data science competitions and datasets.
Docker
Containerization platform for consistent environments.
Google Colab
Cloud-based Jupyter notebook environment for Python.
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