Research Paper Summariser | Powered by Gemini API

File Upload Interface
Summary Interface
FlashCard Interface
AI Question and Answer Chat Interface

Inspiration

As students and developers, we often struggle with understanding complex research papers. These papers are dense, filled with jargon, and take hours to read and summarize. We wanted to build a solution that saves time and makes research accessible to everyone—students, researchers, and lifelong learners.

What it does

Research Paper Simplifier | Powered by Gemini API allows users to:

Upload any PDF research paper
Get section-wise summaries (Abstract, Introduction, Methods, etc.)
Simplify technical language for better understanding
Generate flashcards for quick learning
Ask questions in natural language and receive instant answers

How we built it

Frontend: React + TypeScript + TailwindCSS for a clean and responsive user interface
Backend: FastAPI (Python) for handling API requests and PDF text extraction
AI Engine: Google Gemini API for summarization, Q&A, simplification, and concept mapping
PDF Processing: PyMuPDF for extracting text from research papers

Challenges we ran into

Handling large PDFs and splitting text into logical sections
Extracting accurate sections like Abstract, Methods, and Conclusion
Building an intuitive UI that feels simple but handles complex features
Ensuring real-time responses while working with AI APIs

Accomplishments that we're proud of

Built a fully functional AI-powered web app in a hackathon timeframe
Successfully integrated Gemini API for multiple tasks (summary, Q&A, simplification)
Added interactive visualization for research concepts
Delivered a clean and responsive UI using modern tech stack