The problem
Researchers and students read dozens of papers but lack a single place to track what they've read, rate papers, and discover similar work. Goodreads solves this for books; papers need the same—with recommendations grounded in abstracts, keywords, and reading history.
The solution
PaperReads is a full-stack app: manage your paper library, track reading status (want to read / reading / completed), rate and favorite papers, and get personalized recommendations using TF-IDF and sentence embeddings plus user-profile weighting.
Without PaperReads
Scattered PDFs and bookmarks, no unified reading history or discovery based on your interests.
With PaperReads
One place to browse, search, track, and get recommendations—Docker-ready for self-hosting.
What it does
- Paper management – Add, search, and organize papers by title, authors, keywords, abstract.
- Smart recommendations – TF-IDF + cosine similarity and sentence-transformers; user profile from ratings and history.
- Reading tracking – Want to read, currently reading, completed.
- Ratings & favorites – Rate papers and mark favorites to improve recommendations.
- Modern UI – React, Vite, Tailwind CSS, Framer Motion; Docker Compose for backend + frontend + PostgreSQL.
Tech stack
Backend: FastAPI, SQLAlchemy, PostgreSQL (SQLite for local dev), scikit-learn, sentence-transformers. Frontend: React, Vite, Tailwind CSS, Framer Motion, React Router.