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A real-time AI teaching platform that enables users to create personalized learning companions for voice-based educational conversations.

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Mentora

A real-time AI teaching platform that enables users to create personalized learning companions for voice-based educational conversations.

Features

  • AI Learning Companions: Create custom AI tutors with personalized names, subjects, voices, and personalities
  • Voice Conversations: Engage in natural, real-time voice interactions for learning
  • Multiple Subjects: Support for Math, Science, Language, History, Coding, and Economics
  • User Journey Tracking: Monitor learning progress and session history
  • Authentication: Secure user authentication and session management

Tech Stack

  • Framework: Next.js 15.5 with React 19
  • Language: TypeScript
  • Authentication: Clerk
  • Database: Supabase
  • Voice AI: VAPI
  • Error Tracking: Sentry
  • Styling: Tailwind CSS
  • UI Components: Radix UI
  • Form Management: React Hook Form with Zod validation

Prerequisites

  • Node.js 18+
  • npm, yarn, pnpm, or bun
  • Supabase account and project
  • Clerk account
  • VAPI account

Installation

  1. Clone the repository:
git clone <repository-url>
cd mentora
  1. Install dependencies:
npm install
# or
yarn install
# or
pnpm install
  1. Set up environment variables: Create a .env.local file in the root directory with the following variables:
# Clerk Authentication
NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=your_clerk_publishable_key
CLERK_SECRET_KEY=your_clerk_secret_key

# Supabase
NEXT_PUBLIC_SUPABASE_URL=your_supabase_url
NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key

# VAPI
NEXT_PUBLIC_VAPI_WEB_TOKEN=your_vapi_web_token

# Sentry (optional)
SENTRY_DSN=your_sentry_dsn
  1. Run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev

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

Scripts

  • npm run dev - Start development server with Turbopack
  • npm run build - Build for production with Turbopack
  • npm start - Start production server
  • npm run lint - Run ESLint

Project Structure

mentora/
├── app/                 # Next.js app router pages
│   ├── api/            # API routes
│   ├── companions/     # Companion pages
│   └── ...
├── components/          # React components
│   ├── ui/             # UI component library
│   └── ...
├── lib/                 # Utility functions and SDKs
│   ├── actions/        # Server actions
│   └── ...
├── types/               # TypeScript type definitions
└── constants/           # Application constants

License

This project is licensed under the MIT License

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A real-time AI teaching platform that enables users to create personalized learning companions for voice-based educational conversations.

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