Karyahire – AI-Powered Job & Internship Platform

Tagline:

πŸš€ β€œWhere AI Finds the Right Talent, Instantly.”

Inspiration

The hiring process today is inefficient and biased β€” candidates struggle to get noticed, and recruiters spend hours scanning irrelevant resumes. We envisioned Karyahire as an AI-driven career platform that understands both sides β€” finding the perfect match between skills and opportunities in seconds.

What it does

Karyahire redefines how jobs and internships are discovered, applied for, and filled β€” using AI intelligence instead of manual search.

  • 🎯 For Candidates:
    • AI scans their resume, identifies top skills, and recommends best-fit jobs or internships.
    • Smart career assistant helps rewrite resumes and prepare for interviews using LLM prompts.
  • 🧠 For Recruiters:
    • AI automatically ranks applicants based on skill compatibility.
    • Predicts candidate success probability using behavioral and skill analysis.
  • πŸ’¬ AI Chat Assistant:
    • Users can simply chat: β€œFind software internships near me” or β€œShow data analyst jobs I qualify for.”

    * Powered by ChatGPT LLM API integrated via FastAPI backend.

    How we built it

    πŸ–₯️ Frontend

  • React + Vite for a super-fast and modular web app.
  • Tailwind CSS for a sleek, responsive UI.
  • Shadcn UI + Aceternity UI for elegant, pre-built components and dashboard designs.
  • Built dynamic chat interfaces, recruiter dashboards, and personalized career pages. ### βš™οΈ Backend
  • Python + FastAPI to build scalable, asynchronous REST APIs.
  • Integrated ChatGPT LLM API for resume parsing, natural language understanding, and recommendation generation.
  • PostgreSQL database to manage users, jobs, applications, and AI insights.
  • Used multi-agent orchestration:
    • 🧩 Resume Agent – extracts structured data and key skills.
    • 🧠 Matching Agent – finds job-candidate compatibility.

    * πŸ’¬ Interview Agent – helps users prepare via conversational mock interviews.

    Challenges we ran into

  • Building reliable resume parsing for multiple formats.
  • Managing multi-agent coordination efficiently in real time.
  • Integrating LLM API responses seamlessly into frontend chat flow.

* Maintaining speed and low latency while calling multiple AI endpoints.

Accomplishments that we're proud of

  • Built an end-to-end AI-powered hiring system from scratch.
  • Integrated ChatGPT LLM for intelligent, human-like interaction.
  • Developed a modern, fast, and beautiful UI using Vite + Tailwind + Shadcn.
  • Achieved automated skill-based ranking with measurable accuracy.

* Designed an extensible agent architecture for future AI modules.

What we learned

  • How to architect a multi-agent AI system for real-world applications.
  • The importance of frontend-backend synchronization when using LLMs.
  • How to make AI outputs explainable and fair for both recruiters and applicants.

* Leveraging UI frameworks (Shadcn & Aceternity) to speed up development without losing design quality.

What’s next for Karyahire

  • πŸ“± Build a PWA mobile app for on-the-go job search.
  • 🎀 Integrate voice-based AI job search using speech recognition.
  • πŸ§‘β€πŸ’» Add AI Interview Simulator with live feedback.
  • 🌍 Expand globally with multilingual support.
  • 🀝 Collaborate with universities and HR platforms for real-time hiring pipelines.

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