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🎥💬 EvalMeet — Technical Interview Platform

Project Banner





Real-Time Interviews. Collaboration. Scheduling. Recording. All in One Platform.

🔥 Live Demo

Table of Contents

1. Introduction

EvalMeet is a powerful, modern platform designed for seamless technical interviews with:

  • Real-time video calls
  • Collaborative coding
  • Commenting & feedback
  • Scheduling workflows
  • Automatic recording & playback
  • Admin dashboards
  • Beautiful UI powered by Tailwind + Shadcn

Built with Next.js 14, Convex, Clerk, and Stream Video SDK, EvalMeet provides a production-ready interview environment for teams, bootcamps, and organizations.

2. Tech Stack

Frontend

  • Next.js 14 (App Router)
  • Shadcn/UI
  • TailwindCSS
  • TypeScript

Backend

  • Convex (realtime DB + functions)
  • Stream Video SDK
  • Clerk Authentication

Infrastructure

  • Vercel (hosting)
  • Convex Cloud
  • Stream Cloud Services

3. Features

Real-Time Video Rooms

  • HD Stream-powered video
  • Auto device setup
  • Participant state tracking
  • Smooth join/leave UX

Interview Tools

  • Integrated collaborative code editor
  • Comment dialogs
  • Realtime updates via Convex

Scheduling System

  • Create/edit interview sessions
  • Dashboard for upcoming meetings
  • Unified meeting management

Recordings

  • Automatic session recording
  • Playback UI
  • Timestamps + metadata

Admin Dashboard

  • Manage interviews
  • View recordings
  • Track user activity

Dark/Light Theme

  • Built-in theme switch using Shadcn

4. Quick Start

  • Clone the Repository

git clone https://github.com/Pratham22R/EvalMeet.git
cd pratham22r-evalmeet

  • Install Dependencies

npm install

  • Add Environment Variables

#Create a .env.local file:

NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=
CLERK_SECRET_KEY=
CLERK_WEBHOOK_SECRET=
NEXT_PUBLIC_CLERK_FRONTEND_API_URL=

CONVEX_DEPLOYMENT=
NEXT_PUBLIC_CONVEX_URL=

NEXT_PUBLIC_STREAM_API_KEY=
STREAM_SECRET_KEY=

  • Start Development Server

npm run dev

  • Link on which app is running

http://localhost:3000

5. Architecture Overview

Frontend (Next.js)

  • App Router
  • Server + client components
  • Shadcn UI

Backend (Convex)

  • Realtime queries/mutations
  • Data models for interviews, comments, recordings

Video Layer (Stream)

  • Room creation
  • Recording pipeline
  • Device & participant lifecycle

Auth Layer (Clerk)

  • User identity
  • Route protection

6. Directory Overview

pratham22r-evalmeet/
├── convex/
│   ├── auth.config.ts
│   ├── comments.ts
│   ├── interview.ts
│   ├── users.ts
│   └── schema.ts
├── src/
│   ├── app/
│   │   ├── (auth)/sign-in
│   │   ├── (auth)/sign-up
│   │   ├── (admin)/dashboard/
│   │   ├── meeting/
│   │   ├── recordings/
│   │   └── schedule/
│   ├── components/
│   │   ├── CodeEditor.tsx
│   │   ├── MeetingRoom.tsx
│   │   ├── RecordingCard.tsx
│   │   └── ui/
│   ├── providers/
│   ├── constants/
│   └── hooks/
├── public/
└── package.json

7. Deployment

EvalMeet is optimized for:

  • Vercel → Frontend
  • Convex Cloud → Backend
  • Stream Cloud → Video + Recording

Deploy Your Own

  • Fork repo
  • Import to Vercel
  • Add environment variables
  • Deploy

8. Contributing

Contributions welcome!

Steps:

  • Fork
  • Create feature branch
  • Commit
  • Open PR

9. Contact

10. ⭐ Show Support

If you like EvalMeet, consider giving the repo a star 🌟 Your support helps the project grow!

Made with ❤️ by Pratham