This project is the front-end for Qualifai, including an applicant screening flow for the platform. It includes the experience of applying for a job, uploading documents, and going through a AI-driven conversational assessment.

Live Demo: https://qualifai-one.vercel.app/

• View sample job postings.
• Interactive application flow with multiple stages:
  • Pre-screening information (time estimate, privacy).
  • Document upload interface (resume, cover letter, links).
  • AI-driven conversational assessment.
  • Final submission confirmation.
• Smooth page transitions using Framer Motion.
• Clean UI built with Next.js (App Router) and shadcn/ui.
• Pages for "My Applications", "Profile", and "Settings".
• Text and voice input conversation for the chat, powered by VAPI AI.

• Framework: Next.js 15+ (App Router)
• UI: React, Tailwind CSS, shadcn/ui
• Voice AI: VAPI AI
• Animation: Framer Motion
• Language: TypeScript
• Deployment: Vercel

To run this project locally:

1. Clone the repository:

   git clone https://github.com/NoahLloyd/Qualifai.git
   cd Qualifai

2. Install dependencies:

   npm install
   # or
   # yarn install
   # or
   # pnpm install
   # or
   # bun install

3. (Optional) Configure VAPI: If implementing VAPI integration, set up necessary API keys/environment variables (details would go here).

4. Run the development server:

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

5. Open your browser: Navigate to http://localhost:3000

• The conversational AI flow follows a defined path for demonstration purposes.
• Ensure necessary environment variables are configured if running locally with full voice features:
  • NEXT_PUBLIC_VAPI_KEY: Your VAPI API key
  • NEXT_PUBLIC_VAPI_ASSISTANT_ID: Your VAPI assistant ID
• Create a .env.local file in the root directory with these variables to enable voice features.

Aino, Oliver, Noah