Jambo - AI-Powered Career Platform

Jambo is an intelligent career development platform that bridges the gap between job seekers and recruiters using cutting-edge AI technology. Built with Next.js and Tambo AI, Jambo transforms the job hunting and hiring experience through automation and intelligent matching.

✨ Features

For Job Seekers

• AI Mock Interview Coach - Practice with a realistic AI interviewer that provides:
  • 🎙️ Real-time speech-to-text and natural text-to-speech conversation
  • ⏱️ 60 seconds per question with interactive back-and-forth dialogue
  • 📊 Comprehensive Feedback Report at the end including:
    • Overall performance score out of 10
    • 💪 Strengths you demonstrated
    • 📈 Areas for improvement
    • 💡 Tips for your next interview
    • 📝 Question-by-question detailed feedback

Interview Feedback Screenshots

Overall score with strengths and areas for improvement

Detailed question-by-question performance analysis

• Intelligent Job Discovery - Find opportunities powered by multiple data sources
• Company Insights - Get comprehensive information about potential employers

For Recruiters

• AI-Assisted Candidate Sourcing - Aggregate talent data from GitHub and professional networks
• Smart Matching - View candidate profiles with match scores and relevant skills
• Streamlined Pipeline - Manage recruitment with structured job and candidate cards

🛠️ Tech Stack

• Framework: Next.js 15 with App Router
• AI Integration: Tambo AI SDK for conversational interfaces
• Speech: Deepgram (TTS/STT) for real-time audio processing
• LLM: Groq for fast AI interview responses
• Styling: Tailwind CSS with dark mode support
• Data Sources: GitHub API, RapidAPI, Exa, Firecrawl

🚀 Getting Started

Prerequisites

• Node.js 18+
• npm or yarn

Installation

1. Clone the repository

git clone https://github.com/BEASTSHRIRAM/Jambo.git
cd Jambo

2. Install dependencies

npm install

3. Set up environment variables

cp example.env.local .env.local

Add your API keys to .env.local:

NEXT_PUBLIC_TAMBO_API_KEY=your_tambo_key
NEXT_PUBLIC_DEEPGRAM_API_KEY=your_deepgram_key
NEXT_PUBLIC_GROQ_API_KEY=your_groq_key
RAPIDAPI_KEY=your_rapidapi_key
GITHUB_TOKEN=your_github_token
EXA_API_KEY=your_exa_key
FIRECRAWL_API_KEY=your_firecrawl_key

4. Run the development server

npm run dev

5. Open http://localhost:3000

🤖 How We Use Tambo

Tambo powers our AI chat experience, making job hunting and recruiting feel like talking to a smart assistant. Instead of clicking through menus, users simply type what they need—"find React developers in San Francisco" or "show me trending tech jobs"—and Tambo understands and responds with interactive cards and real-time results.

We registered custom tools and components that let Tambo search GitHub for talent, fetch company insights, and display job listings dynamically. The SDK handles conversation threads, message history, and state management, so our AI remembers context across sessions.

Tambo Configuration

Components and tools are registered in:

• src/lib/tambo.ts - Global configuration
• src/lib/jobseeker-config.ts - Job seeker specific tools
• src/lib/recruiter-config.ts - Recruiter specific tools

📁 Project Structure

src/
├── app/                    # Next.js App Router pages
│   ├── jobseeker/         # Job seeker dashboard
│   ├── recruiter/         # Recruiter dashboard
│   └── page.tsx           # Landing page
├── components/
│   ├── interview/         # AI interview components
│   ├── recruitment/       # Job & candidate cards
│   ├── tambo/             # Tambo UI components
│   └── ui/                # Shared UI components
├── hooks/                  # Custom React hooks
├── lib/                    # Utilities & configs
└── services/              # API integrations

🎯 Deployment

Vercel (Recommended)

1. Push to GitHub
2. Import project in Vercel
3. Add environment variables in project settings
4. Deploy!

Build settings are auto-detected for Next.js.

📝 License

MIT