Interview Talent is a full-stack web application designed to revolutionize interview preparation for tech professionals. Unlike traditional fragmented methods, this platform offers a holistic and integrated solution—combining AI-driven mock interviews, real-time feedback on communication, non-verbal cues, and technical skills.
Whether you're brushing up on coding challenges or refining your soft skills, Interview Talent helps you build confidence and perform your best in real-world interviews.
🔧 Built as a monorepo with both the client-side (React) and server-side (Node.js) codebases.
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🤖 AI-Based Mock Interviews Simulate realistic interviews with dynamically generated questions using the OpenAI API.
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🎥 Multi-Modal Feedback Get real-time insights into your verbal and non-verbal communication.
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🗣️ Verbal Analysis
- Transcription via Google Cloud Speech-to-Text
- Clarity and content evaluation using AI models
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😐 Non-Verbal Analysis
- Analyze facial expressions and emotional state via face-api.js (TensorFlow.js)
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🧰 Integrated Toolkit Centralized dashboard with everything needed for comprehensive preparation.
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📄 Resume Builder Create ATS-friendly resumes with professional PDF exports.
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🔗 Profile Integration Connect your LeetCode and GitHub profiles to showcase your journey.
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💻 Real-time Code Editor Practice coding challenges directly in the browser.
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🎨 User-Centric UI Built with a consistent dark theme using Tailwind CSS and Shadcn UI components.
| Technology | Purpose |
|---|---|
| React.js | Frontend framework |
| Tailwind CSS | Utility-first styling |
| Shadcn UI | UI components |
| Redux Toolkit | State management |
| react-pdf | Resume PDF generation |
| Web Speech API | Real-time transcription |
| face-api.js | Facial recognition and analysis |
| Technology | Purpose |
|---|---|
| Node.js | Backend runtime |
| Express.js | Web framework |
| MongoDB Atlas | Cloud-based NoSQL database |
| Mongoose | ODM for MongoDB |
| Auth0 | Authentication & Authorization |
| Service | Usage |
|---|---|
| OpenAI API | AI question generation & analysis |
| Google Cloud Speech-to-Text | Audio transcription |
| GitHub REST API | Profile data integration |
| LeetCode GraphQL API | Coding profile integration |
Ensure you have the following installed:
- Node.js (v18+)
- MongoDB Atlas account
- Auth0 account
- Git
git clone https://github.com/<your-username>/Interview-Talent.git
cd Interview-Talentcd client
npm install
npm run devThe frontend should now be running at: http://localhost:5173
cd ../server
npm install
touch .envAdd the following variables to your .env file:
PORT=5000
MONGODB_URI=your_mongodb_atlas_connection_string_here
AUTH0_AUDIENCE=your_auth0_api_identifier_here
AUTH0_ISSUER_BASE_URL=https://your-auth0-domain.auth0.com/Run the backend server:
npm run devYour backend will run at: http://localhost:5000
We welcome all contributions! If you have suggestions for features, improvements, or bug fixes:
- Open an issue
- Submit a pull request
This project is licensed under the MIT License.