This is a Next.js project bootstrapped with create-next-app.
Spechio frontend for extracting facial features and recommending beauty products
Requirement:
As a user I want the application to scan my face and do skin Analysis so that it can recommend me suitable beauty products.
Acceptance Criteria:
1. Application should be able to scan user’s face.
2. ML model for face features analysis.
3. Recommend beauty products based on extracted features of the face. (Create a dummy beauty products mapping in the backend)
- Run the command from the root folder to create virtual env.
npm run ml - Activate the venv by running
.\\venv\\Scripts\\activate- Go into the backend folder using
cd .\\backend- Run the uvicorn server using
uvicorn main:app --host localhost --port 8000
# or
uvicorn main:app --host localhost --port 8000 --reload # for development to enable hot reloading with file changes.First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm devOpen http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying pages/index.js. The page auto-updates as you edit the file.
API routes can be accessed on http://localhost:3000/api/hello. This endpoint can be edited in pages/api/hello.js.
The pages/api directory is mapped to /api/*. Files in this directory are treated as API routes instead of React pages.
This project uses next/font to automatically optimize and load Inter, a custom Google Font.
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.