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Opus AI - Personalized Career Coach

Problem Statement for AI Career Coach

The Problem

Technical interview preparation remains a significant challenge for job seekers, with limited access to personalized feedback and practice opportunities. Generic interview resources fail to account for individual experience levels, specific tech stacks, and unique career trajectories, while professional interview coaching services are often expensive and inaccessible.

AI Career Coach Platform

A comprehensive career development platform built with Next.js that helps tech professionals prepare for interviews, find jobs, and advance their careers.

Features

1. Smart Chat Assistant

  • AI-powered career guidance chatbot
  • Real-time responses to career-related queries
  • Contextual conversation memory
  • Markdown support for formatted responses

2. Job Search Portal

  • Real-time job listings integration
  • Advanced filtering by role and location
  • Dynamic FAQ generation based on search queries
  • Clean and intuitive job card interface
  • Automated job insights and analysis

3. Mock Interview Platform

  • AI-driven interview simulations
  • Industry-specific interview questions
  • Real-time feedback on responses
  • Performance analytics and scoring
  • Multiple interview formats supported

4. Resume Tools

  • Resume-based interview preparation
  • Resume analysis and feedback
  • Customized interview questions based on resume content
  • Tech stack validation

5. User Authentication & Profiles

  • Secure authentication using Clerk
  • Personalized user dashboards
  • Interview history tracking
  • Progress monitoring

Tech Stack

  • Frontend: Next.js, TailwindCSS, shadcn/ui
  • Authentication: Clerk
  • State Management: React Hooks
  • API Integration: REST APIs
  • Styling: Custom Tailwind components with dark mode
  • Deployment: Vercel/Render

Getting Started

  1. Clone the repository:
git clone https://github.com/yourusername/ai-career-coach.git
  1. Install dependencies:
npm install
  1. Set up environment variables:
NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=your_clerk_publishable_key
CLERK_SECRET_KEY=your_clerk_secret_key
  1. Run the development server:
npm run dev

Project Structure

ai-career-coach/
├── app/
│   ├── (main)/
│   │   ├── chatbot/
│   │   ├── find-jobs/
│   │   ├── mock-interview/
│   │   └── resume-based-interview/
│   ├── layout.js
│   └── page.js
├── components/
│   ├── ui/
│   └── header.jsx
├── data/
│   ├── features.js
│   └── faqs.js
└── public/

Future Enhancements

  1. Enhanced Interview Analysis

    • Speech-to-text integration for verbal responses
    • Video interview capabilities
    • Body language analysis
    • Tone and confidence scoring
  2. Advanced Job Matching

    • ML-based job recommendations
    • Salary insights and negotiations
    • Company culture analysis
    • Career path planning
  3. Learning Platform Integration

    • Skill gap analysis
    • Personalized learning paths
    • Course recommendations
    • Certification tracking
  4. Networking Features

    • Peer mock interviews
    • Industry expert connections
    • Community forums
    • Mentorship matching
  5. Analytics Dashboard

    • Detailed performance metrics
    • Interview success rate tracking
    • Skill development monitoring
    • Industry trends analysis

Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

License

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

Support

For support, please open an issue in the GitHub repository or contact our support team.

Acknowledgments

  • TailwindCSS for the styling framework
  • Clerk for authentication services
  • OpenAI for AI capabilities
  • All contributors who have helped shape this project

For more information, visit our documentation.

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