Next.js 16
React framework with App Router and server components
About PromptVault
PromptVault is a community-driven prompt library built as a final project for CS-49900 Web Application Development at Kettering University (Winter 2026). Save, tag, share, and rate AI prompts with other users.
How It Works
Watch a quick overview of PromptVault in action.
Demo video - placeholder for a future PromptVault walkthrough
Purpose
AI tools like ChatGPT, Claude, and Gemini produce dramatically different results depending on how you phrase your prompt. PromptVault lets the community collect, organize, and vote on the best prompts so everyone can get better results. Think of it as a recipe book - but for AI conversations.
Features
- Create and publish AI prompts with titles, tags, and full text
- Browse and search the community prompt library
- Rate prompts with thumbs up / thumbs down
- User profiles with avatars, bios, and prompt history
- Feedback system with email notifications
- Page-view analytics with geolocation and visitor tracking
- Profanity filtering and input sanitization
Tech Stack
React 19
UI library with hooks and context API
Supabase
PostgreSQL database, authentication, and file storage
Tailwind CSS
Utility-first CSS framework for responsive design
TypeScript
Type-safe JavaScript for reliable development
Vercel
Serverless deployment with edge functions and analytics
Class Project
This application was developed for CS-49900 Web Application Development, taught at Kettering University during the Winter 2026 term. It demonstrates full-stack web development concepts including React context, semantic HTML5, responsive design with media queries, form handling, DOM manipulation with useRef, and RESTful API design with server-side authentication.