🤖 SkillSharp AI – AI Mock Interview Application

An AI-powered mock interview platform designed to help users practice and prepare for interviews by generating real-time, intelligent interview questions and analyzing their responses.
Built with Next.js, React.js, and the Google Gemini API, SkillSharp AI provides a seamless, engaging, and data-driven mock interview experience — reducing deployment time by 30% and enhancing interview preparation efficiency.

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🧠 Features

• 💬 AI-Generated Interview Questions – Uses Google Gemini API to dynamically generate role-specific interview questions.
• 🎙 Speech-to-Text Conversion – Converts spoken answers into text for AI-based analysis and feedback.
• 🔐 Secure Authentication – Clerk-based social and email login system.
• 📊 Data Management – Store and manage interview sessions with PostgreSQL and Drizzle ORM.
• ⚡ Fast Deployment – Hosted on Vercel, reducing deployment time by 30%.

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🛱 Tech Stack

Layer	Technologies
Frontend	Next.js, React.js
AI Integration	Google Gemini API
Authentication	Clerk (Social & Email Auth)
Database	PostgreSQL, Drizzle ORM
Deployment	Vercel
Speech Recognition	Speech-to-Text

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🗂 Folder Structure

/skillsharp-ai
│
├── /components         # Reusable UI components
├── /pages              # Next.js pages (routes)
├── /lib                # API integrations & utilities
├── /styles             # CSS/Tailwind styles
├── /public             # Static assets
├── .env.local          # Environment variables
├── package.json
└── README.md

🚀 Getting Started

1️⃣ Clone the Repository

git clone https://github.com/Iamdk25/skillsharp-ai.git
cd skillsharp-ai

2️⃣ Install Dependencies

npm install

3️⃣ Configure Environment Variables Create a .env.local file in the root folder:

NEXT_PUBLIC_GOOGLE_GEMINI_API_KEY=your_google_gemini_api_key
CLERK_FRONTEND_API=your_clerk_frontend_api
CLERK_API_KEY=your_clerk_api_key
DATABASE_URL=postgresql://username:password@localhost:5432/yourdb

4️⃣ Run PostgreSQL Migration (if using Drizzle ORM)

npm run migrate

5️⃣ Start the Development Server

npm run dev

Visit http://localhost:3000 to access the app.

☁ Deployment on Vercel

1. Ensure environment variables are configured in the Vercel Dashboard. 2. Deploy:

vercel

🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss your ideas.

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📜 License

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

👨‍💻 Author

Divyarajsinh Karmariya
💼 Computer Science Student @ University of South Florida
🔗 Portfolio • 🧠 GitHub • 💼 LinkedIn