Daisy is an innovative dermatological AI system application for your skin aimed at detecting early skin diseases using image processing and machine learning. This repository contains the cloud computing components of the Daisy project, including APIs for authentication, news fetching, and machine learning model integration.
| No. | Member | Student ID | Path | Contacts |
|---|---|---|---|---|
| 1 | Hafiz Aryan Siregar | C546B4NY1667 | Cloud Computing |  |
| 2 | Hapid Ramdani | C546B4NY1726 | Cloud Computing | |
| Learning Paths | Link |
|---|---|
| 🤖 Machine Learning | ML Repository |
| 📱 Mobile Development | MD Repository |
- Authentication: Secure user authentication using Firebase.
- Machine Learning: Analyze uploaded images for eye disease detection using a machine learning model.
- Base URL/Endpoint:
https://asia-southeast2-inbound-decker-441613-s6.cloudfunctions.net/app - Methods:
POST api/register: Register a new user.POST api/login: Authenticate an existing user.POST api/reset-password: Change user password.POST api/logout: Logging out user account
- Base URL/Endpoint:
lorem ipsum - Methods:
POST /image: Analyze the uploaded image for skin disease detection.
