An AI-driven startup team selector that scores 100+ job applicants and auto-picks the best 5-member team for a $100M seed-stage startup — with full analytics, justification, and an interactive UI.

✅ Built with: Next.js 14, TypeScript, TailwindCSS, React, Client-side Scoring Logic

🧪 Demo Coming Soon

• 📥 Upload and process JSON resume data
• 🧮 Intelligent scoring algorithm (100-point scale)
• 🧑‍💼 Automatically selects top 5-member team
• 🌍 Ensures geographic, role, and experience diversity
• 📊 Team analytics, skill coverage, cost breakdown
• 🌙 Dark mode + responsive UI

• 🌍 Geographic Diversity: Max 2 members per region
• 🧑‍💼 Role Balance: Mix of tech + business members
• 🧓 Experience Mix: Blend of senior & junior talent
• 💸 Budget Optimization: Maximize value under cost constraints

• Node.js v18+
• A valid candidates.json input file

# 1. Clone this repo
git clone https://github.com/rakshath66/hire-top-k.git
cd hire-top-k

# 2. Install dependencies
npm install

# 3. Run the dev server
npm run dev

startup-team-builder/
├── components/
│   └── CandidateCard.tsx
│   └── TeamAnalytics.tsx
├── pages/
│   └── index.tsx
├── public/
│   └── images/screenshot.png
├── utils/
│   └── scoring.ts
├── styles/
├── data/
│   └── example_candidates.json
└── README.md

JSON Input → Parse → Score Candidates → Select Optimal Team → Display Results

• Scores each candidate (tech, edu, experience, etc.)
• Sorts by score, filters for team diversity
• Optimizes for budget and role balance
• Displays team with full analytics

[
  {
    "name": "Jane Doe",
    "skills": ["React", "Node.js"],
    "education": "Master's",
    "institution": "MIT",
    "experience": ["Team Lead", "Software Engineer"],
    "region": "North America",
    "expected_salary": 130000
  },
  ...
]

Paste JSON directly into the app’s input section.

• ⏱ Built from scratch in just 30 minutes
• 🔢 Fully automated candidate scoring
• 🌍 Smart team-building algorithm
• 🌒 Dark/Light theme toggle
• 📱 Mobile responsive layout

MIT © Rakshath U Shetty

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software... [rest of MIT license]

• ⏱ 30-min build demo
• 🧠 Candidate scoring
• 📊 Team analytics panel

• 📂 Upload JSON from file (not just paste)
• 📉 Add radar/spider charts for skills
• 💡 Explainability panel (Why this candidate?)
• 📤 Export selected team as PDF

Pull requests welcome! Fork → Code → PR → 🎉

Please follow Conventional Commits:

git commit -m "feat: added region diversity logic"

If this project inspired you, give it a ⭐ on GitHub! Feel free to fork it, contribute, or build your own variant!