ProofPrep is an AI-powered interview preparation platform designed to help job seekers practice and improve their interview skills. The application simulates real interview scenarios with an AI interviewer, provides real-time feedback, and offers detailed performance analysis to help users identify areas for improvement.
- AI Interview Simulation: Engage in realistic interview scenarios with our AI interviewer that adapts to your responses.
- Real-time Feedback: Receive immediate feedback on your answers during the interview process.
- Detailed Performance Analysis: Get comprehensive performance reports with scores across different categories.
- Interview History: Track your progress over time by reviewing past interview sessions.
- Web3 Integration: Utilize blockchain technology for secure payments and potential credential verification.
- Next.js Framework: Built with Next.js for server-side rendering and optimal performance.
- Firebase Authentication: Secure user authentication with email/password and Google Sign-In options.
- Firestore Database: Scalable NoSQL database for storing user data and interview sessions.
- Tailwind CSS: Modern, responsive UI with custom design system.
- x402 Payment Integration: Blockchain-based payment processing for interview access.
- OnchainKit: Web3 wallet integration for connecting to Base network.
Traditional interview preparation methods often fall short in several ways:
- Lack of Realism: Reading interview questions and preparing answers doesn't simulate the pressure of a real interview.
- No Immediate Feedback: Practice with friends or mentors doesn't provide objective, consistent feedback.
- Limited Accessibility: Professional interview coaching is expensive and not accessible to everyone.
- Difficulty Tracking Progress: Most preparation methods don't offer a way to measure improvement over time.
- Industry-Specific Preparation: Different roles require different preparation approaches.
ProofPrep addresses these challenges by:
- Creating Realistic Scenarios: Our AI interviewer simulates real interview conditions, including follow-up questions based on your responses.
- Providing Objective Feedback: Get consistent, data-driven feedback on your performance.
- Making Preparation Accessible: Available 24/7 at a fraction of the cost of professional coaching.
- Enabling Progress Tracking: Review past interviews and see improvement across different skill categories.
- Offering Role-Specific Practice: Choose from various job roles and technical stacks for targeted preparation.
ProofPrep is built with a modern tech stack:
- Frontend: Next.js, React, Tailwind CSS
- Backend: Next.js API routes, Firebase Admin SDK
- Authentication: Firebase Auth
- Database: Firestore
- AI: Custom LLM implementation for interview simulation
- Payment: x402 middleware for Base network transactions
- Interview Engine: Powers the AI interviewer, generating questions and evaluating responses.
- Feedback System: Analyzes interview performance across multiple dimensions.
- User Dashboard: Displays interview history and performance metrics.
- Web3 Integration: Handles cryptocurrency payments and wallet connections.
- Authentication System: Manages user accounts and session persistence.
Problem: Creating an AI interviewer that feels natural and adapts to user responses.
Solution: Implemented a sophisticated prompt engineering approach with context awareness, allowing the AI to maintain conversation history and adapt questions based on previous answers.
Problem: Integrating cryptocurrency payments in a user-friendly way.
Solution: Used x402 middleware with a custom paywall UI that matches the application's design language, providing a seamless payment experience while maintaining the app's aesthetic.
Problem: Handling user authentication across different parts of the application.
Solution: Implemented Firebase authentication with custom hooks and server-side session validation, ensuring secure access to protected routes and resources.
Problem: Ensuring fast load times and responsive UI despite complex AI operations.
Solution: Utilized Next.js server components, implemented efficient state management, and optimized API calls to minimize latency.
Problem: Making Web3 functionality accessible to users unfamiliar with blockchain technology.
Solution: Integrated OnchainKit for a simplified wallet connection experience and created a user-friendly settings modal for wallet management.
- Verifiable Credentials: Mint interview achievements as verifiable credentials on Base.
- Industry-Specific Modules: Expand interview types to cover more industries and roles.
- Peer Review: Allow users to share interview recordings for feedback from peers.
- Advanced Analytics: Provide deeper insights into performance patterns over time.
- Mobile Application: Develop native mobile apps for iOS and Android.
- Node.js 18.x or higher
- npm or yarn
- Firebase account
- Base Sepolia testnet for development
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Clone the repository
git clone https://github.com/yourusername/proofprep.git cd proofprep -
Install dependencies
npm install # or yarn install -
Set up environment variables Create a
.env.localfile with the following variables:# Firebase NEXT_PUBLIC_FIREBASE_API_KEY=your_api_key NEXT_PUBLIC_FIREBASE_AUTH_DOMAIN=your_auth_domain NEXT_PUBLIC_FIREBASE_PROJECT_ID=your_project_id FIREBASE_CLIENT_EMAIL=your_client_email FIREBASE_PRIVATE_KEY=your_private_key # x402 and Web3 NEXT_PUBLIC_ONCHAINKIT_API_KEY=your_api_key RESOURCE_WALLET_ADDRESS=your_wallet_address NEXT_PUBLIC_FACILITATOR_URL=https://x402.org/facilitator NETWORK=base-sepolia -
Run the development server
npm run dev # or yarn dev -
Open http://localhost:3000 in your browser
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
- Base for providing the blockchain infrastructure
- x402 for the payment processing middleware
- Coinbase for the OnchainKit library
