About ScholarSearch
Our Mission
ScholarSearch was created to provide a privacy-focused way to search for academic papers. We believe that research and knowledge should be accessible to everyone without compromising their privacy or being tracked across the web.
Our goal is to make academic research more accessible while respecting user privacy and providing an enhanced search experience powered by AI.
How It Works
ScholarSearch uses the Semantic Scholar API to access a vast database of academic papers. When you search, we enhance your query using Google's Gemini AI to help you find the most relevant papers, even if they don't exactly match your search terms.
All search processing happens on the server, and we don't store your search history or track your behavior on the site. We don't use cookies for tracking or profiling.
Privacy Commitment
We are committed to protecting your privacy. Here's how:
- No tracking cookies or user profiling
- No collection of personal data
- No ads or third-party trackers
- No selling or sharing of search data
- All connections secured with HTTPS
- Strict Content Security Policy to prevent XSS attacks
Technology
ScholarSearch is built with:
- Next.js (Static Site Generation)
- Semantic Scholar API
- Google Gemini AI for query enhancement
- Tailwind CSS for responsive design
- Vercel for hosting