🏆 WeMakeDevs Hackathon - Productivity & Workflow Tool
An AI-powered interview preparation platform built with Cerebras AI, n8n, and Next.js.

• 🌐 Live Application: https://wisehire.vercel.app/
• 📋 GitHub Repository: https://github.com/Arjunhg/wemakedevs
• 🎥 Demo Video: 3-minute demonstration video

wisehire revolutionizes interview preparation by:

• 🔍 Real-Time Market Intelligence: Scrapes current Google Link job postings using Search API to generate relevant interview questions
• 📝 Adaptive Question Generation: Creates personalized questions based on uploaded resumes or manual job descriptions via Cerebras Inference
• 💡 Intelligent Feedback System: Provides comprehensive performance analysis and improvement suggestions
• 🔐 Secure User Management: Implements Clerk authentication with personalized interview history tracking

• Frontend: Next.js 15 with React 19, TypeScript, Tailwind CSS
• Backend: Next.js API routes with Convex database
• AI Integration: Cerebras AI, Murf AI, AssemblyAI
• Authentication: Clerk for secure user management
• File Storage: ImageKit for PDF resume uploads
• Rate Limiting: Arcjet for API protection and credit management

Our "unstoppable workflow" leverages n8n's automation capabilities:

Webhook → Resume Check → Branch Logic:
├── With Resume: Upload → Extract PDF → Parse with Cerebras → Scrape Google Links → Generate Questions
└── Without Resume: Scrape Google Link → Clean Data → Generate Questions

Key Components:

• n8n AI Agent Nodes: Cerebras Llama for question generation + and for resume parsing
• Search API Integration: Two instances scraping Google link job postings based on job titles
• Dynamic Processing: Custom code nodes for HTML cleaning and data optimization
• Intelligent Branching: Different workflow paths based on user input type

• Node.js 18+
• npm/yarn/pnpm
• n8n Cloud account (or self-hosted)
• Required API keys (see Environment Variables)

1. Clone the repository

   git clone https://github.com/Arjunhg/wemakedevs.git
   cd wisehire

2. Install dependencies

   npm install
   # or
   yarn install
   # or
   pnpm install

3. Set up environment variables Create a .env.local file with:

   # n8n Webhook URLs
   N8N_URL_ENDPOINT=your_n8n_webhook_url
   
   MURF_API_KEY=your_murf_api_key
   ASSEMBLYAI_API_KEY=your_assemblyai_api_key
   
   # ImageKit
   IMAGEKIT_URL_PUBLIC_KEY=your_imagekit_public_key
   IMAGEKIT_URL_PRIVATE_KEY=your_imagekit_private_key
   IMAGEKIT_URL_ENDPOINT=your_imagekit_endpoint
   
   # Clerk Authentication
   NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=your_clerk_publishable_key
   CLERK_SECRET_KEY=your_clerk_secret_key
   NEXT_PUBLIC_CLERK_SIGN_IN_URL=/sign-in
   NEXT_PUBLIC_CLERK_SIGN_UP_URL=/sign-up
   NEXT_PUBLIC_CLERK_SIGN_IN_FALLBACK_REDIRECT_URL=/
   NEXT_PUBLIC_CLERK_SIGN_UP_FALLBACK_REDIRECT_URL=/
   
   # Convex Database
   NEXT_PUBLIC_CONVEX_URL=your_convex_url
   CONVEX_DEPLOYMENT=your_convex_deployment
   
   # Arcjet Rate Limiting
   ARCJET_KEY=your_arcjet_key

4. Set up Convex database

   npx convex dev

5. Run the development server

   npm run dev

   Open http://localhost:3000 to see the application.

• Features: Dual-path processing for resume-based and manual job description flows
• AI Nodes: Cerebras llama model for question generation and resume parsing
• Scraping: Scrapes Google links via search API job postings for market-relevant questions

• Features: Analyzes interview conversations and provides detailed performance feedback
• AI Processing: Uses Cerebras llama to generate personalized improvement suggestions

• Resume Upload & Analysis: PDF processing with AI-powered content extraction
• Job Description Input: Manual job details for targeted question generation
• Voice-Based Interviews: Natural conversation flow with AI avatars
• Real-Time Feedback: Instant performance analysis and suggestions
• Interview History: Track progress and previous sessions
• Credit Management: Rate limiting with user credit system

• Responsive Design: Mobile-first approach with dark/light theme support
• Progressive Loading: Smooth transitions and loading states
• Accessibility: WCAG compliant interface design
• Error Handling: Comprehensive error states and recovery options

• POST /api/generate-interview-question - Triggers n8n workflow for question generation
• POST /api/interview-feedback - Processes interview conversation for feedback
• POST /api/akool-session - Manages AI avatar session creation
• POST /api/akool-knowledge-base - Handles knowledge base operations
• POST /api/murf-tts - Generates speech using Murf AI
• POST /api/assemblyai-stream - Transcribes audio using AssemblyAI

This project is deployed on Vercel. To deploy your own instance:

1. Deploy to Vercel

   npm run build

2. Configure environment variables in your Vercel dashboard

3. Set up n8n webhooks and update the URLs in your environment

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

• Cerebras for providing the AI infrastructure
• n8n for providing the automation platform and AI Agent nodes
• murf for voice synthesis
• Vercel for seamless deployment and hosting