Nebula - Exam Preparation Platform with AI Interviewer

Nebula is a comprehensive platform designed to help students prepare for the Scaler School of Technology entrance exam (NSET). It offers a range of tools including mock tests, interview preparation, scheduling, and performance tracking.

Features

• Comprehensive Study Material: Access to detailed notes, video lectures, and practice questions covering all NSET topics.
• Mock Tests: Practice with full-length tests that simulate the actual NSET exam environment.
• AI-Powered Interview Preparation: Practice interview skills with AI-driven mock interviews.
• Interview Scheduling: Schedule and manage mock interviews with mentors.
• Performance Analytics: Track progress with detailed analytics and identify areas for improvement.
• Expert Guidance: Get personalized feedback from experienced mentors.

Tech Stack

• Frontend: Next.js 15, React 19, TypeScript, Tailwind CSS
• Backend: Next.js API Routes, Supabase
• Authentication: Supabase Auth
• Database: Supabase (PostgreSQL)
• APIs: Stripe for payments
• UI Components: Radix UI, Lucide React icons

Getting Started

Prerequisites

• Node.js (latest LTS version)
• npm or yarn

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/nebula.git
   cd nebula

2. Install dependencies:

   npm install
   # or
   yarn install

3. Set up environment variables: Create a .env.local file in the root directory with the following variables:

   NEXT_PUBLIC_SUPABASE_URL=your_supabase_url
   NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
   

4. Start the development server:

   npm run dev
   # or
   yarn dev

5. Open http://localhost:3000 with your browser to see the application.

Project Structure

• /src/app: Main application code

  • /api: API routes
  • /auth: Authentication pages
  • /dashboard: User dashboard
  • /courses: Course listings
  • /exam: Exam preparation
  • /interview: Interview preparation
  • /schedule-interview: Interview scheduling
  • /schedule-mentorship: Mentorship scheduling
  • /progress: Progress tracking

• /src/components: Reusable UI components

• /src/lib: Utility functions and configuration

• /src/contexts: React contexts for state management

• /src/types: TypeScript type definitions

Database Schema

The application uses Supabase (PostgreSQL) with the following main tables:

• interviews: Stores scheduled interviews
• questions: Stores interview questions
• answers: Stores user answers to questions
• interview_feedback: Stores feedback for completed interviews