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kenken64/awscert-frontend

By kenken64

•Updated about 1 year ago

Next.js frontend for AWS certification practice application

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kenken64/awscert-frontend repository overview

This is a Next.js⁠ project bootstrapped with create-next-app⁠.

⁠Project Documentation

This project includes comprehensive documentation organized in the specs/ folder. Below is a reference table of all available documentation:

DocumentDescriptionCategory
ACCESS_CODE_QUESTIONS_README.md⁠Documentation for access code questions functionalityFeatures
AI_CACHING_COMPLETE.md⁠AI response caching implementation completion guideAI Implementation
AI_CACHING_IMPLEMENTATION_SUMMARY.md⁠Summary of AI caching implementation detailsAI Implementation
AI_EXPLANATION_SETUP.md⁠Setup guide for AI explanation featuresAI Implementation
AI_IMPLEMENTATION_COMPLETE.md⁠Complete AI second opinion feature implementation guideAI Implementation
AI_SETUP_COMPLETE.md⁠AI setup completion documentationAI Implementation
APPLICATION_FLOW_DIAGRAM.md⁠Comprehensive application architecture and flow diagramArchitecture
DATA_TRANSFORMATION_IMPLEMENTATION.md⁠Data transformation implementation detailsBackend
IMPLEMENTATION_COMPLETE.md⁠Overall project implementation completion statusProject Status
IMPLEMENTATION_SUCCESS.md⁠Implementation success documentationProject Status
JWT_AUTHENTICATION_COMPLETE.md⁠JWT authentication implementation guideAuthentication
JWT_AUTHENTICATION_FIX_SUMMARY.md⁠JWT authentication fixes and solutionsAuthentication
LOCAL_DEVELOPMENT_FIX.md⁠Local development environment fixesDevelopment
LOGIN_DEBUG_ANALYSIS.md⁠Login functionality debug analysisAuthentication
LOGIN_NAVIGATION_FIX.md⁠Login navigation fixes and improvementsAuthentication
MARKDOWN_VISUAL_GUIDE.md⁠Visual guide for markdown renderingUI/UX
NAVIGATION_FIX_COMPLETE.md⁠Navigation system fixes completionUI/UX
REACT_MARKDOWN_COMPLETE.md⁠React markdown implementation completionUI/UX
REACT_MARKDOWN_IMPLEMENTATION.md⁠React markdown implementation detailsUI/UX
SLIDING_MENU_LOGOUT_FIX.md⁠Sliding menu logout functionality fixesUI/UX
TITLE_CONFIGURATION_FIX.md⁠Title configuration fixes and updatesConfiguration
VERCEL_AI_COMPLETE_SETUP.md⁠Complete Vercel AI setup guideAI Implementation
VERCEL_AI_SETUP.md⁠Vercel AI initial setup documentationAI Implementation
VERCEL_API_KEY_SETUP.md⁠Vercel API key setup instructionsConfiguration
⁠Documentation Categories
  • Architecture: Complete system architecture, flow diagrams, and technical specifications
  • AI Implementation: Documentation related to AI features, caching, and Vercel AI integration
  • Authentication: JWT authentication, login functionality, and security implementations
  • UI/UX: User interface components, navigation, and markdown rendering
  • Configuration: Environment setup, API keys, and configuration management
  • Features: Specific application features and functionality
  • Backend: Data transformation and backend implementation details
  • Development: Local development setup and debugging guides
  • Project Status: Overall implementation status and completion documentation

⁠Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000⁠ with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font⁠ to automatically optimize and load Geist⁠, a new font family for Vercel.

⁠Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository⁠ - your feedback and contributions are welcome!

⁠Deploy on Vercel

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.

Tag summary

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Image

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sha256:d0fbdd231…

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68.2 MB

Last updated

about 1 year ago

docker pull kenken64/awscert-frontend