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ScholarSeeker AI 🎓

CI License: MIT Issues

Next.js
TypeScript
Tailwind CSS

A modern scholarship discovery platform powered by AI, helping international students locate funding opportunities at top U.S. universities.

ScholarSeeker Demo


Table of Contents 📑


Features ✨

  • 🔍 AI-powered scholarship search
  • 🎯 Advanced filtering (location, degree level, award amount)
  • 🏫 Detailed university profiles
  • 📊 Scholarship insights and visual statistics
  • 💻 Fully responsive, mobile-first design
  • 🚀 Performance optimized with Next.js Image & CDN caching
  • ✨ Interactive UI animations powered by Framer Motion

Tech Stack 🛠️

Getting Started 🚀

Prerequisites

  • Node.js v18.x or higher
  • pnpm v7.x or higher (or yarn & npm)

Installation

  1. Clone the repository:

    git clone https://github.com/Davidson3556/ScholarSeeker-AI.git
    cd ScholarSeeker-AI
  2. Install dependencies:

    pnpm install

Running Locally

pnpm dev

Open http://localhost:3000 in your browser.

Project Structure 🗂️

.
├── app/                   # Next.js App Router pages & layouts
│   ├── about/
│   ├── construction/
│   ├── school/
│   └── search/
├── components/            # Reusable UI components
│   ├── home/
│   ├── scholarship/
│   └── ui/
├── lib/
├── services/
├── types/                 # TypeScript interfaces & types
├── public/                # Static assets (images, fonts)
└── styles/                # Global & theme styles

Deployment 🚀

This project is configured for seamless deployment on Vercel:

  1. Push your code to GitHub.
  2. Log in to Vercel and create a new project.
  3. Select your GitHub repository.
  4. Deploy with the default settings.

Vercel will automatically:

  • Detect the Next.js framework
  • Build & optimize assets
  • Enable HTTPS and CDN caching
  • Provide deployment previews and analytics

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