Skip to content

PaperScope is an AI-powered research assistant that helps you search, summarize, and semantically explore academic papers using Gemini, FAISS, and Streamlit. Easily upload PDFs, run arXiv searches, and find relevant papers faster with natural language queries

Notifications You must be signed in to change notification settings

aditya-nv-06/PaperScope

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

📚 PaperScope – Your AI-Powered Research Assistant

PaperScope is an intelligent research assistant that helps you discover, summarize, and search academic papers efficiently.
Built with Gemini, FAISS, and Streamlit, it transforms how you interact with research — making exploration faster, smarter, and more insightful. 🧠✨


🚀 Overview

PaperScope empowers researchers, students, and enthusiasts to:

  • 🔍 Search papers from arXiv instantly by topic or keyword.
  • 🧾 Summarize academic papers using Gemini AI.
  • 📄 Upload PDFs and generate concise summaries.
  • 🔎 Perform semantic search using FAISS to find contextually similar papers.

🧩 Features

🔍 Search arXiv Papers

Easily search for recent papers and get concise, AI-generated summaries powered by Gemini.

🧠 Query Stored Summaries

Retrieve relevant summaries from your saved data using keyword or semantic search.

📄 Upload & Summarize PDFs

Upload your own research paper or document — PaperScope summarizes it in seconds.

🔎 Semantic Search (FAISS)

Find papers with similar meanings, not just matching keywords, using FAISS-based vector search.


🛠️ Tech Stack

Component Purpose
Streamlit Interactive user interface
arXiv API Academic paper data source
Google Gemini AI model for summaries & insights
FAISS Vector-based semantic search
PyMuPDF PDF parsing and text extraction

About

PaperScope is an AI-powered research assistant that helps you search, summarize, and semantically explore academic papers using Gemini, FAISS, and Streamlit. Easily upload PDFs, run arXiv searches, and find relevant papers faster with natural language queries

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%